-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathindex.json
More file actions
1 lines (1 loc) · 184 KB
/
index.json
File metadata and controls
1 lines (1 loc) · 184 KB
1
[{"authors":["BrianPlancher"],"categories":null,"content":"","date":1783382400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1783382400,"objectID":"7d5c26d7eba84fef871b5d5053bc2f0a","permalink":"https://a2r-lab.github.io/authors/brianplancher/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/brianplancher/","section":"authors","summary":"","tags":null,"title":"Brian Plancher","type":"authors"},{"authors":["JohnSubosits"],"categories":null,"content":"","date":1783382400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1783382400,"objectID":"eb222871eb52e3ffc24564128f41f529","permalink":"https://a2r-lab.github.io/authors/johnsubosits/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/johnsubosits/","section":"authors","summary":"","tags":null,"title":"John Subosits","type":"authors"},{"authors":["MarcusGreiff"],"categories":null,"content":"","date":1783382400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1783382400,"objectID":"ffcc9ed3b30c615ebfd832547e302f02","permalink":"https://a2r-lab.github.io/authors/marcusgreiff/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/marcusgreiff/","section":"authors","summary":"","tags":null,"title":"Marcus Greiff","type":"authors"},{"authors":["ThomasLew"],"categories":null,"content":"","date":1783382400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1783382400,"objectID":"47a7e05022d57e6894d20b49ca34504d","permalink":"https://a2r-lab.github.io/authors/thomaslew/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/thomaslew/","section":"authors","summary":"","tags":null,"title":"Thomas Lew","type":"authors"},{"authors":["AlexDu"],"categories":null,"content":"","date":1780308001,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780308001,"objectID":"d24885bbea308b12bad1839c28e70843","permalink":"https://a2r-lab.github.io/authors/alexdu/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/alexdu/","section":"authors","summary":"","tags":null,"title":"Alex Du","type":"authors"},{"authors":["EmreAdabag"],"categories":null,"content":"","date":1780308001,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780308001,"objectID":"703f9d55a74186ebd7c1a73801baa813","permalink":"https://a2r-lab.github.io/authors/emreadabag/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/emreadabag/","section":"authors","summary":"","tags":null,"title":"Emre Adabag","type":"authors"},{"authors":["GabrielBravo"],"categories":null,"content":"","date":1780308001,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780308001,"objectID":"1a7868de3120c024c4590ba3c4ebd6f5","permalink":"https://a2r-lab.github.io/authors/gabrielbravo/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/gabrielbravo/","section":"authors","summary":"","tags":null,"title":"Gabriel Bravo Palacios","type":"authors"},{"authors":["ChihHuang"],"categories":null,"content":"","date":1780308000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780308000,"objectID":"3d7453f6d0828dcc83d2105b77b5c43b","permalink":"https://a2r-lab.github.io/authors/chihhuang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/chihhuang/","section":"authors","summary":"","tags":null,"title":"Chih Huang","type":"authors"},{"authors":["ElakhyaNedumaran"],"categories":null,"content":"","date":1780308000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780308000,"objectID":"959802d2d7bc39c9e536927279cd01fc","permalink":"https://a2r-lab.github.io/authors/elakhyanedumaran/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/elakhyanedumaran/","section":"authors","summary":"","tags":null,"title":"Elakhya Nedumaran","type":"authors"},{"authors":["IshaanMahajan"],"categories":null,"content":"","date":1780308000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780308000,"objectID":"fe95d8241fdd4c77b58d9230eb58d14c","permalink":"https://a2r-lab.github.io/authors/ishaanmahajan/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/ishaanmahajan/","section":"authors","summary":"","tags":null,"title":"Ishaan Mahajan","type":"authors"},{"authors":["KhaiNguyen"],"categories":null,"content":"","date":1780308000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780308000,"objectID":"9d861b20f876f47f84847f4add4a3827","permalink":"https://a2r-lab.github.io/authors/khainguyen/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/khainguyen/","section":"authors","summary":"","tags":null,"title":"Khai Nguyen","type":"authors"},{"authors":["MoisesMata"],"categories":null,"content":"","date":1780308000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780308000,"objectID":"527020c6c8fdfdc5c806173e93747a38","permalink":"https://a2r-lab.github.io/authors/moisesmata/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/moisesmata/","section":"authors","summary":"","tags":null,"title":"Moises Mata","type":"authors"},{"authors":["PranavJadhav"],"categories":null,"content":"","date":1780308000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780308000,"objectID":"7d503ab0941aabaebafdf110a3a6910a","permalink":"https://a2r-lab.github.io/authors/pranavjadhav/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/pranavjadhav/","section":"authors","summary":"","tags":null,"title":"Pranav Jadhav","type":"authors"},{"authors":["SamSchoedel"],"categories":null,"content":"","date":1780308000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780308000,"objectID":"f448b5ebe5efb3e66c430fa24cd464a7","permalink":"https://a2r-lab.github.io/authors/samschoedel/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/samschoedel/","section":"authors","summary":"","tags":null,"title":"Sam Schoedel","type":"authors"},{"authors":["ZacharyKingston"],"categories":null,"content":"","date":1780308000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780308000,"objectID":"76558ae876b3a40ad40cd655cb9e8558","permalink":"https://a2r-lab.github.io/authors/zacharykingston/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/zacharykingston/","section":"authors","summary":"","tags":null,"title":"Zachary Kingston","type":"authors"},{"authors":["ZacharyManchester"],"categories":null,"content":"","date":1780308000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780308000,"objectID":"57ac8a95fddf53ce9daf2dc5d8b04423","permalink":"https://a2r-lab.github.io/authors/zacharymanchester/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/zacharymanchester/","section":"authors","summary":"","tags":null,"title":"Zachary Manchester","type":"authors"},{"authors":["AnupamBhakta"],"categories":null,"content":"","date":1780272000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780272000,"objectID":"e193763ba63c4ecf46978eb63767592d","permalink":"https://a2r-lab.github.io/authors/anupambhakta/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/anupambhakta/","section":"authors","summary":"","tags":null,"title":"Anupam Bhakta","type":"authors"},{"authors":["JustinJiang"],"categories":null,"content":"","date":1780272000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780272000,"objectID":"3e26861130dca40ffb8c8879d4660b64","permalink":"https://a2r-lab.github.io/authors/justinjiang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/justinjiang/","section":"authors","summary":"","tags":null,"title":"Justin Jiang","type":"authors"},{"authors":["KevinQiu"],"categories":null,"content":"","date":1780272000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780272000,"objectID":"d08dcebb8d3635bc2a2db7d76459f055","permalink":"https://a2r-lab.github.io/authors/kevinqiu/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/kevinqiu/","section":"authors","summary":"","tags":null,"title":"Kevin Qiu","type":"authors"},{"authors":["ShuoSha"],"categories":null,"content":"","date":1780272000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1780272000,"objectID":"b263b1ea3580c00db6d611b3417765d6","permalink":"https://a2r-lab.github.io/authors/shuosha/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/shuosha/","section":"authors","summary":"","tags":null,"title":"Shuo \"Chris\" Sha","type":"authors"},{"authors":["BenjaminBrown"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"bbb2e94f79d97d82c8bb2349179ca784","permalink":"https://a2r-lab.github.io/authors/benjaminbrown/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/benjaminbrown/","section":"authors","summary":"","tags":null,"title":"Benjamin Brown","type":"authors"},{"authors":["EmanuelMoss"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"1b26b2d262c8c40f2a468f55a18caca0","permalink":"https://a2r-lab.github.io/authors/emanuelmoss/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/emanuelmoss/","section":"authors","summary":"","tags":null,"title":"Emanuel Moss","type":"authors"},{"authors":["JacobHuckelberry"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"c749a9459f2be5676944f36c40198e1c","permalink":"https://a2r-lab.github.io/authors/jacobhuckelberry/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jacobhuckelberry/","section":"authors","summary":"","tags":null,"title":"Jacob Huckelberry","type":"authors"},{"authors":["JimMacArthur"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"f4fb9b707193caf5fb0b0965d1ddb6e7","permalink":"https://a2r-lab.github.io/authors/jimmacarthur/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jimmacarthur/","section":"authors","summary":"","tags":null,"title":"Jim MacArthur","type":"authors"},{"authors":["JoaoSantos"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"2c06ae12b98c54503ae249322f6ac5bb","permalink":"https://a2r-lab.github.io/authors/joaosantos/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/joaosantos/","section":"authors","summary":"","tags":null,"title":"Joao Santos","type":"authors"},{"authors":["MatthewStewart"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"dbc0f23cd6ae5052cd6a616543c47a85","permalink":"https://a2r-lab.github.io/authors/matthewstewart/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/matthewstewart/","section":"authors","summary":"","tags":null,"title":"Matthew Stewart","type":"authors"},{"authors":["MonaSloane"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"71cebc7097f15da0e0852045c47b23f7","permalink":"https://a2r-lab.github.io/authors/monasloane/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/monasloane/","section":"authors","summary":"","tags":null,"title":"Mona Sloane","type":"authors"},{"authors":["NatJeffries"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"b34b38853e7658fd3889a3855981dc90","permalink":"https://a2r-lab.github.io/authors/natjeffries/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/natjeffries/","section":"authors","summary":"","tags":null,"title":"Nat Jeffries","type":"authors"},{"authors":["PeteWarden"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"b8918a0ff64eacd432173b1301e258af","permalink":"https://a2r-lab.github.io/authors/petewarden/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/petewarden/","section":"authors","summary":"","tags":null,"title":"Pete Warden","type":"authors"},{"authors":["ShawnHymel"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"45577dd42b343da9789989b41fc8b442","permalink":"https://a2r-lab.github.io/authors/shawnhymel/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/shawnhymel/","section":"authors","summary":"","tags":null,"title":"Shawn Hymel","type":"authors"},{"authors":["ShvetankPrakash"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"8cb074e718f83e75d60e2833fa4e12ce","permalink":"https://a2r-lab.github.io/authors/shvetankprakash/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/shvetankprakash/","section":"authors","summary":"","tags":null,"title":"Shvetank Prakash","type":"authors"},{"authors":["VijayJanapaReddi"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"3949cbb1433414c61fe3204a959accb8","permalink":"https://a2r-lab.github.io/authors/vijayjanapareddi/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/vijayjanapareddi/","section":"authors","summary":"","tags":null,"title":"Vijay Janapa Reddi","type":"authors"},{"authors":["YasmineOmri"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"389dddcb0b6aa27f80258f691fe6e2b4","permalink":"https://a2r-lab.github.io/authors/yasmineomri/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/yasmineomri/","section":"authors","summary":"","tags":null,"title":"Yasmine Omri","type":"authors"},{"authors":["YukeZhang"],"categories":null,"content":"","date":1769817600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1769817600,"objectID":"0e3cd3793b2cec37ccbd5eebdbb0abd8","permalink":"https://a2r-lab.github.io/authors/yukezhang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/yukezhang/","section":"authors","summary":"","tags":null,"title":"Yuke Zhang","type":"authors"},{"authors":["EnricoMingoHoffman"],"categories":null,"content":"","date":1765411200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1765411200,"objectID":"a65b65b64df35f974a7e82206f4103d5","permalink":"https://a2r-lab.github.io/authors/enricomingohoffman/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/enricomingohoffman/","section":"authors","summary":"","tags":null,"title":"Enrico Mingo Hoffman","type":"authors"},{"authors":["KonstantinosChatzilygeroudis"],"categories":null,"content":"","date":1765411200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1765411200,"objectID":"2543a8d18c4408ea7652ef2a75a988b5","permalink":"https://a2r-lab.github.io/authors/konstantinoschatzilygeroudis/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/konstantinoschatzilygeroudis/","section":"authors","summary":"","tags":null,"title":"Konstantinos Chatzilygeroudis","type":"authors"},{"authors":["PatrickWensing"],"categories":null,"content":"","date":1765411200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1765411200,"objectID":"0207d1a41a600018b06e82650e3a5f7d","permalink":"https://a2r-lab.github.io/authors/patrickwensing/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/patrickwensing/","section":"authors","summary":"","tags":null,"title":"Patrick Wensing","type":"authors"},{"authors":["ShiveshKumar"],"categories":null,"content":"","date":1765411200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1765411200,"objectID":"85f489529adab78f5e6ee9917176bbeb","permalink":"https://a2r-lab.github.io/authors/shiveshkumar/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/shiveshkumar/","section":"authors","summary":"","tags":null,"title":"Shivesh Kumar","type":"authors"},{"authors":["AlpYilmaz"],"categories":null,"content":"","date":1765238400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1765238400,"objectID":"f50260aec301d221739dfdd60bef2316","permalink":"https://a2r-lab.github.io/authors/alpyilmaz/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/alpyilmaz/","section":"authors","summary":"","tags":null,"title":"Alp Eren Yilmaz","type":"authors"},{"authors":["LillianPentecost"],"categories":null,"content":"","date":1765238400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1765238400,"objectID":"7f628ade21568360c33e55b424e6c139","permalink":"https://a2r-lab.github.io/authors/lillianpentecost/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/lillianpentecost/","section":"authors","summary":"","tags":null,"title":"Lillian Pentecost","type":"authors"},{"authors":["SabrinaNeuman"],"categories":null,"content":"","date":1765238400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1765238400,"objectID":"8d49bf00433d65934b90ef6e29e370b0","permalink":"https://a2r-lab.github.io/authors/sabrinaneuman/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/sabrinaneuman/","section":"authors","summary":"","tags":null,"title":"Sabrina M. Neuman","type":"authors"},{"authors":["ThomasBourgeat"],"categories":null,"content":"","date":1765238400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1765238400,"objectID":"7312138afa8e6677f2c16c53b46b1581","permalink":"https://a2r-lab.github.io/authors/thomasbourgeat/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/thomasbourgeat/","section":"authors","summary":"","tags":null,"title":"Thomas Bourgeat","type":"authors"},{"authors":["ElianaStefani"],"categories":null,"content":"","date":1764633600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1764633600,"objectID":"0eeebfc9a4524a6b48d75de61dce7344","permalink":"https://a2r-lab.github.io/authors/elianastefani/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/elianastefani/","section":"authors","summary":"","tags":null,"title":"Eliana Stefani","type":"authors"},{"authors":["JonathanKent"],"categories":null,"content":"","date":1764633600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1764633600,"objectID":"c3527346dc150dce9c8a5d505569c8ac","permalink":"https://a2r-lab.github.io/authors/jonathankent/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jonathankent/","section":"authors","summary":"","tags":null,"title":"Jonathan S. Kent","type":"authors"},{"authors":["HaydenKwokHaySo"],"categories":null,"content":"","date":1764547200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1764547200,"objectID":"5910f1b7dfecbb7daccdbe07c5351229","permalink":"https://a2r-lab.github.io/authors/haydenkwokhayso/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/haydenkwokhayso/","section":"authors","summary":"","tags":null,"title":"Hayden Kwok-Hay So","type":"authors"},{"authors":["IanMcInerney"],"categories":null,"content":"","date":1764547200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1764547200,"objectID":"bd6b95a44c230a8f6506c67fbf1cffea","permalink":"https://a2r-lab.github.io/authors/ianmcinerney/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/ianmcinerney/","section":"authors","summary":"","tags":null,"title":"Ian McInerney","type":"authors"},{"authors":["KwangTingCheng"],"categories":null,"content":"","date":1764547200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1764547200,"objectID":"642297b91153c09b2f5eff2ae9b815b9","permalink":"https://a2r-lab.github.io/authors/kwangtingcheng/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/kwangtingcheng/","section":"authors","summary":"","tags":null,"title":"Kwang-Ting Cheng","type":"authors"},{"authors":["MaolinWang"],"categories":null,"content":"","date":1764547200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1764547200,"objectID":"d086ca54b819481c6cc1cc9e1dc7c632","permalink":"https://a2r-lab.github.io/authors/maolinwang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/maolinwang/","section":"authors","summary":"","tags":null,"title":"Maolin Wang","type":"authors"},{"authors":["ZhenyuWu"],"categories":null,"content":"","date":1764547200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1764547200,"objectID":"1e98dea0b7aacbf762fed440a8ac2308","permalink":"https://a2r-lab.github.io/authors/zhenyuwu/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/zhenyuwu/","section":"authors","summary":"","tags":null,"title":"Zhenyu Wu","type":"authors"},{"authors":["CaelYasutake"],"categories":null,"content":"","date":1759968000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1759968000,"objectID":"e73fd2cbde3a7c8b2616a234090f7ef2","permalink":"https://a2r-lab.github.io/authors/caelyasutake/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/caelyasutake/","section":"authors","summary":"","tags":null,"title":"Cael Yasutake","type":"authors"},{"authors":["CharlesCarver"],"categories":null,"content":"","date":1745452800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1745452800,"objectID":"ed7bd157a14a3f8cd7f743697678fc2a","permalink":"https://a2r-lab.github.io/authors/charlescarver/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/charlescarver/","section":"authors","summary":"","tags":null,"title":"Charles J. Carver","type":"authors"},{"authors":["ChunChengChang"],"categories":null,"content":"","date":1745452800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1745452800,"objectID":"b89e1d89adb89e2baeeb516deef7bf73","permalink":"https://a2r-lab.github.io/authors/chunchengchang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/chunchengchang/","section":"authors","summary":"","tags":null,"title":"Chun-Cheng Chang","type":"authors"},{"authors":["HadleighSchwartz"],"categories":null,"content":"","date":1745452800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1745452800,"objectID":"7c5cc01639622d03169ed6c9180c9318","permalink":"https://a2r-lab.github.io/authors/hadleighschwartz/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/hadleighschwartz/","section":"authors","summary":"","tags":null,"title":"Hadleigh Schwartz","type":"authors"},{"authors":["KechenLiu"],"categories":null,"content":"","date":1745452800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1745452800,"objectID":"d40c0689f2d6c25792d5a2f6de24b0e8","permalink":"https://a2r-lab.github.io/authors/kechenliu/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/kechenliu/","section":"authors","summary":"","tags":null,"title":"Kechen Liu","type":"authors"},{"authors":["MeganGraciela"],"categories":null,"content":"","date":1745452800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1745452800,"objectID":"b05ed04e33957a1afa70f3fa4f513275","permalink":"https://a2r-lab.github.io/authors/megangraciela/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/megangraciela/","section":"authors","summary":"","tags":null,"title":"Megan Graciela Nauli Manik","type":"authors"},{"authors":["TomaItagaki"],"categories":null,"content":"","date":1745452800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1745452800,"objectID":"f1c9a233716f682949bd5cf8055df184","permalink":"https://a2r-lab.github.io/authors/tomaitagaki/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/tomaitagaki/","section":"authors","summary":"","tags":null,"title":"Toma Itagaki","type":"authors"},{"authors":["VikramIyer"],"categories":null,"content":"","date":1745452800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1745452800,"objectID":"caaa6daacbeb33190c9c04910264ea84","permalink":"https://a2r-lab.github.io/authors/vikramiyer/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/vikramiyer/","section":"authors","summary":"","tags":null,"title":"Vikram Iyer","type":"authors"},{"authors":["XiaZhou"],"categories":null,"content":"","date":1745452800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1745452800,"objectID":"6db74c92fa7a380931f5ea9bafea585d","permalink":"https://a2r-lab.github.io/authors/xiazhou/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/xiazhou/","section":"authors","summary":"","tags":null,"title":"Xia Zhou","type":"authors"},{"authors":["ZacharyEnglhardt"],"categories":null,"content":"","date":1745452800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1745452800,"objectID":"efa3058a0c0d828902255e476471f4e3","permalink":"https://a2r-lab.github.io/authors/zacharyenglhardt/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/zacharyenglhardt/","section":"authors","summary":"","tags":null,"title":"Zachary Englhardt","type":"authors"},{"authors":["ColinJones"],"categories":null,"content":"","date":1742860803,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1742860803,"objectID":"ea3df3922462b2ca2c695b31b398b2ec","permalink":"https://a2r-lab.github.io/authors/colinjones/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/colinjones/","section":"authors","summary":"","tags":null,"title":"Colin N. Jones ","type":"authors"},{"authors":["ShaohuiYang"],"categories":null,"content":"","date":1742860803,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1742860803,"objectID":"5d5ef50972376639c031f57357541500","permalink":"https://a2r-lab.github.io/authors/shaohuiyang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/shaohuiyang/","section":"authors","summary":"","tags":null,"title":"Shaohui Yang","type":"authors"},{"authors":["ToshiyukiOhtsuka"],"categories":null,"content":"","date":1742860803,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1742860803,"objectID":"356dc4468dd468c82c755c958ce8c31a","permalink":"https://a2r-lab.github.io/authors/toshiyukiohtsuka/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/toshiyukiohtsuka/","section":"authors","summary":"","tags":null,"title":"Toshiyuki Ohtsuka","type":"authors"},{"authors":["SusanKennedy"],"categories":null,"content":"","date":1742428800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1742428800,"objectID":"6005d79bbd900d190146088958b28cb9","permalink":"https://a2r-lab.github.io/authors/susankennedy/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/susankennedy/","section":"authors","summary":"","tags":null,"title":"Susan Kennedy","type":"authors"},{"authors":["EnaSelmanHousein"],"categories":null,"content":"","date":1740009600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1740009600,"objectID":"5c20ae147b486094a83670f671992eac","permalink":"https://a2r-lab.github.io/authors/enaselmanhousein/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/enaselmanhousein/","section":"authors","summary":"","tags":null,"title":"Ena Selman-Housein","type":"authors"},{"authors":["AnoushkaAlavilli"],"categories":null,"content":"","date":1721001600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1721001600,"objectID":"d86ebd4ae1ebe7f076b395d5b1c4bbdb","permalink":"https://a2r-lab.github.io/authors/anoushkaalavilli/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/anoushkaalavilli/","section":"authors","summary":"","tags":null,"title":"Anoushka Alavilli","type":"authors"},{"authors":["MiloniDipakAtal"],"categories":null,"content":"","date":1721001600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1721001600,"objectID":"3c28c07afa2863b1f4421ba1bd6e485c","permalink":"https://a2r-lab.github.io/authors/milonidipakatal/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/milonidipakatal/","section":"authors","summary":"","tags":null,"title":"Miloni Atal","type":"authors"},{"authors":["WilliamGerard"],"categories":null,"content":"","date":1721001600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1721001600,"objectID":"469b9b1abf23fae57ecd001c877e8fce","permalink":"https://a2r-lab.github.io/authors/williamgerard/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/williamgerard/","section":"authors","summary":"","tags":null,"title":"William Gerard","type":"authors"},{"authors":["XueyiBu"],"categories":null,"content":"","date":1721001600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1721001600,"objectID":"6400b88d3afb4c58d7635989494da932","permalink":"https://a2r-lab.github.io/authors/xueyibu/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/xueyibu/","section":"authors","summary":"","tags":null,"title":"Xueyi Bu","type":"authors"},{"authors":["LevGrossman"],"categories":null,"content":"","date":1715558402,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558402,"objectID":"871cfce0249c467a94b7267c9d3e7b0a","permalink":"https://a2r-lab.github.io/authors/levgrossman/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/levgrossman/","section":"authors","summary":"","tags":null,"title":"Lev Grossman","type":"authors"},{"authors":["GauravVikhe"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"8c90f7c521910cc5c00610572361d6a4","permalink":"https://a2r-lab.github.io/authors/gauravvikhe/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/gauravvikhe/","section":"authors","summary":"","tags":null,"title":"Gaurav Vikhe","type":"authors"},{"authors":["GiulioCorradi"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"a418890520b394617825d55f0be5d2a9","permalink":"https://a2r-lab.github.io/authors/giuliocorradi/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/giuliocorradi/","section":"authors","summary":"","tags":null,"title":"Giulio Corradi","type":"authors"},{"authors":["JasonJabbour"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"6311509d00902ec32daa118a08ef2d96","permalink":"https://a2r-lab.github.io/authors/jasonjabbour/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jasonjabbour/","section":"authors","summary":"","tags":null,"title":"Jason Jabbour","type":"authors"},{"authors":["JuanReinaMunoz"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"658fd0ad00d28ad75f2366006de6f488","permalink":"https://a2r-lab.github.io/authors/juanreinamunoz/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/juanreinamunoz/","section":"authors","summary":"","tags":null,"title":"Juan Manuel Reina-Muñoz","type":"authors"},{"authors":["MartinoAlvarez"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"86ba771e29aa1e36c847ee80fa7480e6","permalink":"https://a2r-lab.github.io/authors/martinoalvarez/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/martinoalvarez/","section":"authors","summary":"","tags":null,"title":"Martiño Crespo-Álvarez","type":"authors"},{"authors":["MartinPinzger"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"95cc13bcf9e8346fdf74cf525920a139","permalink":"https://a2r-lab.github.io/authors/martinpinzger/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/martinpinzger/","section":"authors","summary":"","tags":null,"title":"Martin Pinzger","type":"authors"},{"authors":["MohammadBakhshalipour"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"5e34260738c43d51787ca15f401307ca","permalink":"https://a2r-lab.github.io/authors/mohammadbakhshalipour/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/mohammadbakhshalipour/","section":"authors","summary":"","tags":null,"title":"Mohammad Bakhshalipour","type":"authors"},{"authors":["NiladriRoy"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"f240ce72c56311bf67186366cf581d5e","permalink":"https://a2r-lab.github.io/authors/niladriroy/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/niladriroy/","section":"authors","summary":"","tags":null,"title":"Niladri Roy","type":"authors"},{"authors":["PhillipGibbons"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"f75fcc208010f62a0b9194bcd9bd0dbf","permalink":"https://a2r-lab.github.io/authors/phillipgibbons/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/phillipgibbons/","section":"authors","summary":"","tags":null,"title":"Phillip B. Gibbons","type":"authors"},{"authors":["PrateekNagras"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"11385147e4f9633f4f055952d39e30d7","permalink":"https://a2r-lab.github.io/authors/prateeknagras/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/prateeknagras/","section":"authors","summary":"","tags":null,"title":"Prateek Nagras","type":"authors"},{"authors":["SmrutiPanigrahi"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"52f2c5d57bb981b316b9407be22398f0","permalink":"https://a2r-lab.github.io/authors/smrutipanigrahi/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/smrutipanigrahi/","section":"authors","summary":"","tags":null,"title":"Smruti Panigrahi","type":"authors"},{"authors":["StefanRass"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"fc1f8bde1146ae81980cb234fa89d9c1","permalink":"https://a2r-lab.github.io/authors/stefanrass/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/stefanrass/","section":"authors","summary":"","tags":null,"title":"Stefan Rass","type":"authors"},{"authors":["VictorMayoralVilches"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"0ff67b4148715d4194d3310badf52bfc","permalink":"https://a2r-lab.github.io/authors/victormayoralvilches/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/victormayoralvilches/","section":"authors","summary":"","tags":null,"title":"Víctor Mayoral-Vilches","type":"authors"},{"authors":["YuShunHsiao"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"217dde4625d685f7b35dfcf0256df9da","permalink":"https://a2r-lab.github.io/authors/yushunhsiao/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/yushunhsiao/","section":"authors","summary":"","tags":null,"title":"Yu-Shun Hsiao","type":"authors"},{"authors":["ZishenWan"],"categories":null,"content":"","date":1715558400,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1715558400,"objectID":"f8c98a3dfdf030914d2d954556f6c3cf","permalink":"https://a2r-lab.github.io/authors/zishenwan/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/zishenwan/","section":"authors","summary":"","tags":null,"title":"Zishen Wan","type":"authors"},{"authors":["AlessandroGrande"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"54614bc361899d46c9dcafa9a7f67c85","permalink":"https://a2r-lab.github.io/authors/alessandrogrande/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/alessandrogrande/","section":"authors","summary":"","tags":null,"title":"Alessandro Grande","type":"authors"},{"authors":["AndresOlivaTrevisan"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"cc8d0fac6bd169687b202c93e482b7b1","permalink":"https://a2r-lab.github.io/authors/andresolivatrevisan/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/andresolivatrevisan/","section":"authors","summary":"","tags":null,"title":"Andres Oliva Trevisan","type":"authors"},{"authors":["BharatChaudhari"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"866f5562d8f40742a393142674b65818","permalink":"https://a2r-lab.github.io/authors/bharatchaudhari/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/bharatchaudhari/","section":"authors","summary":"","tags":null,"title":"Bharat Chaudhari","type":"authors"},{"authors":["BorisMurmann"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"7eb060fd0e127d639e7de649b1320ffd","permalink":"https://a2r-lab.github.io/authors/borismurmann/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/borismurmann/","section":"authors","summary":"","tags":null,"title":"Boris Murmann","type":"authors"},{"authors":["DavidCuartielles"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"f60cd36905ee1cb090b5cf08b8fdf0c1","permalink":"https://a2r-lab.github.io/authors/davidcuartielles/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/davidcuartielles/","section":"authors","summary":"","tags":null,"title":"David Cuartielles","type":"authors"},{"authors":["DiegoMendez"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"b40da60da449e3ac8c1bc6f7128a39ea","permalink":"https://a2r-lab.github.io/authors/diegomendez/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/diegomendez/","section":"authors","summary":"","tags":null,"title":"Diego Mendez Chaves","type":"authors"},{"authors":["EricPan"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"5c0965251367ea61db1d067fe694e85b","permalink":"https://a2r-lab.github.io/authors/ericpan/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/ericpan/","section":"authors","summary":"","tags":null,"title":"Eric Pan","type":"authors"},{"authors":["ErmannoPietrosemoli"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"c852c40fb304922e254f23c804da375a","permalink":"https://a2r-lab.github.io/authors/ermannopietrosemoli/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/ermannopietrosemoli/","section":"authors","summary":"","tags":null,"title":"Ermanno Pietrosemoli","type":"authors"},{"authors":["EvgeniGousev"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"dabc8c2abd54d12cc492a8fb6038163b","permalink":"https://a2r-lab.github.io/authors/evgenigousev/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/evgenigousev/","section":"authors","summary":"","tags":null,"title":"Evgeni Gousev","type":"authors"},{"authors":["GreggBarrett"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"158b906d3e2ed3ce557bbe840bd45743","permalink":"https://a2r-lab.github.io/authors/greggbarrett/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/greggbarrett/","section":"authors","summary":"","tags":null,"title":"Gregg Barrett","type":"authors"},{"authors":["HalleluyahAworinde"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"241022e36f833427dffc191b340cb90f","permalink":"https://a2r-lab.github.io/authors/halleluyahaworinde/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/halleluyahaworinde/","section":"authors","summary":"","tags":null,"title":"Halleluyah Aworinde","type":"authors"},{"authors":["JacklineTum"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"03aa5fda8b6ed5d64483716487d53644","permalink":"https://a2r-lab.github.io/authors/jacklinetum/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jacklinetum/","section":"authors","summary":"","tags":null,"title":"Jackline Tum","type":"authors"},{"authors":["JeremeyEllis"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"0b96149c381e9a6b0e39bccb652bce2b","permalink":"https://a2r-lab.github.io/authors/jeremeyellis/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jeremeyellis/","section":"authors","summary":"","tags":null,"title":"Jeremey Ellis","type":"authors"},{"authors":["JesusLopezSotelo"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"2093890eaa203dfac13ad3b601e0abc0","permalink":"https://a2r-lab.github.io/authors/jesuslopezsotelo/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jesuslopezsotelo/","section":"authors","summary":"","tags":null,"title":"Jesus Lopez Sotelo","type":"authors"},{"authors":["JoseAlbertoFerreiraFilho"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"d333f057a186d927548c8a5748648eae","permalink":"https://a2r-lab.github.io/authors/josealbertoferreirafilho/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/josealbertoferreirafilho/","section":"authors","summary":"","tags":null,"title":"JoseA lberto Ferreira Filho","type":"authors"},{"authors":["JoseBagur"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"e0385e8cb040088ee7d8556641d53741","permalink":"https://a2r-lab.github.io/authors/josebagur/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/josebagur/","section":"authors","summary":"","tags":null,"title":"José Antonio Bagur Nájera","type":"authors"},{"authors":["LailaKazimierski"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"e427fe360dacc07359907b0ed30143e1","permalink":"https://a2r-lab.github.io/authors/lailakazimierski/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/lailakazimierski/","section":"authors","summary":"","tags":null,"title":"Laila Kazimierski","type":"authors"},{"authors":["ManuelRoveri"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"e2a9eb4917e2f890a5ec6367c1d54fad","permalink":"https://a2r-lab.github.io/authors/manuelroveri/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/manuelroveri/","section":"authors","summary":"","tags":null,"title":"Manuel Roveri","type":"authors"},{"authors":["MarceloRovai"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"06737dba09b65f4cdca3780ed6df45d1","permalink":"https://a2r-lab.github.io/authors/marcelorovai/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/marcelorovai/","section":"authors","summary":"","tags":null,"title":"Marcelo Rovai","type":"authors"},{"authors":["MarcoZennaro"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"9d302eb1eb47fb752dd467907c24dc84","permalink":"https://a2r-lab.github.io/authors/marcozennaro/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/marcozennaro/","section":"authors","summary":"","tags":null,"title":"Marco Zennaro","type":"authors"},{"authors":["MarcusRub"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"1d73a24f92b39556e320a4aceccf1d3b","permalink":"https://a2r-lab.github.io/authors/marcusrub/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/marcusrub/","section":"authors","summary":"","tags":null,"title":"Marcus Rüb","type":"authors"},{"authors":["MarianVerhelst"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"f2f2f4c5c3a96f1c26e70b49a43b89a5","permalink":"https://a2r-lab.github.io/authors/marianverhelst/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/marianverhelst/","section":"authors","summary":"","tags":null,"title":"Marian Verhelst","type":"authors"},{"authors":["MassimoPavan"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"00109f00a34f10586352d3c13e3ab842","permalink":"https://a2r-lab.github.io/authors/massimopavan/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/massimopavan/","section":"authors","summary":"","tags":null,"title":"Massimo Pavan","type":"authors"},{"authors":["MilanLukic"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"3f820d5cb63b9a05a38e7957727ea1a5","permalink":"https://a2r-lab.github.io/authors/milanlukic/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/milanlukic/","section":"authors","summary":"","tags":null,"title":"Milan Lukic","type":"authors"},{"authors":["NabilBenamar"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"42f55e757ed353a1a229e004e305ba8d","permalink":"https://a2r-lab.github.io/authors/nabilbenamar/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/nabilbenamar/","section":"authors","summary":"","tags":null,"title":"Nabil Benamar","type":"authors"},{"authors":["NeenaGoveas"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"420c8fa71f226981be1f1d46e41be63b","permalink":"https://a2r-lab.github.io/authors/neenagoveas/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/neenagoveas/","section":"authors","summary":"","tags":null,"title":"Neena Goveas","type":"authors"},{"authors":["PeterIng"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"d4fac416c41dc56551de8120be88b8d5","permalink":"https://a2r-lab.github.io/authors/petering/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/petering/","section":"authors","summary":"","tags":null,"title":"Peter Ing","type":"authors"},{"authors":["PietroManzoni"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"690efb0803e92971121776121a19edae","permalink":"https://a2r-lab.github.io/authors/pietromanzoni/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/pietromanzoni/","section":"authors","summary":"","tags":null,"title":"Pietro Manzoni","type":"authors"},{"authors":["PrashantManandhar"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"e5d8a35a721843d9267ecf6e2a16cefb","permalink":"https://a2r-lab.github.io/authors/prashantmanandhar/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/prashantmanandhar/","section":"authors","summary":"","tags":null,"title":"Prashant Manandhar","type":"authors"},{"authors":["RonaldCriollo"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"4bae940a29dff07e8b2dc32ebd48d19e","permalink":"https://a2r-lab.github.io/authors/ronaldcriollo/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/ronaldcriollo/","section":"authors","summary":"","tags":null,"title":"Ronald Criollo","type":"authors"},{"authors":["RosdiadeeNordin"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"bd2769cd66cb3efbcf3b30108084750e","permalink":"https://a2r-lab.github.io/authors/rosdiadeenordin/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/rosdiadeenordin/","section":"authors","summary":"","tags":null,"title":"Rosdiadee Nordin","type":"authors"},{"authors":["RytisPaskauskas"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"7f7ba1d338b713ac8142465c59c56e94","permalink":"https://a2r-lab.github.io/authors/rytispaskauskas/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/rytispaskauskas/","section":"authors","summary":"","tags":null,"title":"Rytis Paskauskas","type":"authors"},{"authors":["SalahAbdeljabar"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"e8317b823a24b1bbb92472eec6cb85ab","permalink":"https://a2r-lab.github.io/authors/salahabdeljabar/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/salahabdeljabar/","section":"authors","summary":"","tags":null,"title":"Salah Abdeljabar","type":"authors"},{"authors":["SebastianButtrich"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"6aa7ee184fdc99e5adbb27d5f0cef925","permalink":"https://a2r-lab.github.io/authors/sebastianbuttrich/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/sebastianbuttrich/","section":"authors","summary":"","tags":null,"title":"Sebastian Büttrich","type":"authors"},{"authors":["SegunAdebayo"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"15b931a05f7a5fc72847458ae7f79fc3","permalink":"https://a2r-lab.github.io/authors/segunadebayo/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/segunadebayo/","section":"authors","summary":"","tags":null,"title":"Segun Adebayo","type":"authors"},{"authors":["SolomonGizaw"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"adac07600a35f54b96faf1cd5ef1743f","permalink":"https://a2r-lab.github.io/authors/solomongizaw/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/solomongizaw/","section":"authors","summary":"","tags":null,"title":"Solomon Gizaw","type":"authors"},{"authors":["TalesPimenta"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"2ccb839585ff4a75eb7da89bc37f98f0","permalink":"https://a2r-lab.github.io/authors/talespimenta/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/talespimenta/","section":"authors","summary":"","tags":null,"title":"Tales Pimenta","type":"authors"},{"authors":["ThomasAmberg"],"categories":null,"content":"","date":1711324800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1711324800,"objectID":"68448cf22b206c1deceb2219b6e3fec1","permalink":"https://a2r-lab.github.io/authors/thomasamberg/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/thomasamberg/","section":"authors","summary":"","tags":null,"title":"Thomas Amberg","type":"authors"},{"authors":["ChloeHo"],"categories":null,"content":"","date":1710720000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1710720000,"objectID":"dfb63d3f0c9c2c8407c6ada3eca25df3","permalink":"https://a2r-lab.github.io/authors/chloeho/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/chloeho/","section":"authors","summary":"","tags":null,"title":"Chloe Ho","type":"authors"},{"authors":["ElizabethFields"],"categories":null,"content":"","date":1710720000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1710720000,"objectID":"0f58192cc6e08432b4471eae73b9c98e","permalink":"https://a2r-lab.github.io/authors/elizabethfields/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/elizabethfields/","section":"authors","summary":"","tags":null,"title":"Elizabeth Fields","type":"authors"},{"authors":["MinJieKim"],"categories":null,"content":"","date":1710720000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1710720000,"objectID":"5a1f24d3099ede7ce3b505f6e4458910","permalink":"https://a2r-lab.github.io/authors/minjiekim/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/minjiekim/","section":"authors","summary":"","tags":null,"title":"Min Jie Kim","type":"authors"},{"authors":["ZixuanWu"],"categories":null,"content":"","date":1710720000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1710720000,"objectID":"19b9f0f67ede466041a4cfdd6784513c","permalink":"https://a2r-lab.github.io/authors/zixuanwu/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/zixuanwu/","section":"authors","summary":"","tags":null,"title":"Zixuan (Zoey) Wu","type":"authors"},{"authors":["WilliamXie"],"categories":null,"content":"","date":1693180800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1693180800,"objectID":"a403a4b764d4d46e3b7d77eff7d14758","permalink":"https://a2r-lab.github.io/authors/williamxie/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/williamxie/","section":"authors","summary":"","tags":null,"title":"William Xie","type":"authors"},{"authors":["RadhikaGhosal"],"categories":null,"content":"","date":1686787200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1686787200,"objectID":"3b0b06a158ad555385c3691e3f040ed0","permalink":"https://a2r-lab.github.io/authors/radhikaghosal/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/radhikaghosal/","section":"authors","summary":"","tags":null,"title":"Radhika Ghosal","type":"authors"},{"authors":["SachinKatti"],"categories":null,"content":"","date":1677801600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1677801600,"objectID":"70435ca8d68055a15ce4d8439e3b1d27","permalink":"https://a2r-lab.github.io/authors/sachinkatti/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/sachinkatti/","section":"authors","summary":"","tags":null,"title":"Sachin Katti","type":"authors"},{"authors":["ColbyBanbury"],"categories":null,"content":"","date":1675209600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1675209600,"objectID":"ca0d5612602d77aa6084608f6fe79b15","permalink":"https://a2r-lab.github.io/authors/colbybanbury/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/colbybanbury/","section":"authors","summary":"","tags":null,"title":"Colby Banbury","type":"authors"},{"authors":["MarkMazumder"],"categories":null,"content":"","date":1675209600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1675209600,"objectID":"1ef76592c24bb3f1e29ccac0e78143af","permalink":"https://a2r-lab.github.io/authors/markmazumder/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/markmazumder/","section":"authors","summary":"","tags":null,"title":"Mark Mazumder","type":"authors"},{"authors":["BobEdmison"],"categories":null,"content":"","date":1672272000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1672272000,"objectID":"578f4fa698cbd38bb1afea124895e116","permalink":"https://a2r-lab.github.io/authors/bobedmison/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/bobedmison/","section":"authors","summary":"","tags":null,"title":"Bob Edmison","type":"authors"},{"authors":["JeremiahBlanchard"],"categories":null,"content":"","date":1672272000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1672272000,"objectID":"16ee8180d496eef98e53dff07fb528ee","permalink":"https://a2r-lab.github.io/authors/jeremiahblanchard/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jeremiahblanchard/","section":"authors","summary":"","tags":null,"title":"Jeremiah Blanchard","type":"authors"},{"authors":["JohnRHott"],"categories":null,"content":"","date":1672272000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1672272000,"objectID":"f4656e6c43840fc5dcf71621b8c52b61","permalink":"https://a2r-lab.github.io/authors/johnrhott/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/johnrhott/","section":"authors","summary":"","tags":null,"title":"John R. Hott","type":"authors"},{"authors":["OscarKarnalim"],"categories":null,"content":"","date":1672272000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1672272000,"objectID":"9705607d48389706370ade4930ea6a26","permalink":"https://a2r-lab.github.io/authors/oscarkarnalim/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/oscarkarnalim/","section":"authors","summary":"","tags":null,"title":"Oscar Karnalim","type":"authors"},{"authors":["RebeccaCarroll"],"categories":null,"content":"","date":1672272000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1672272000,"objectID":"a6821219c1f97fffa8e01ab4a026cecd","permalink":"https://a2r-lab.github.io/authors/rebeccacarroll/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/rebeccacarroll/","section":"authors","summary":"","tags":null,"title":"Rebecca Carroll","type":"authors"},{"authors":["RichardGlassey"],"categories":null,"content":"","date":1672272000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1672272000,"objectID":"0fd9afb3bde69dffd181e92fa4b9de1e","permalink":"https://a2r-lab.github.io/authors/richardglassey/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/richardglassey/","section":"authors","summary":"","tags":null,"title":"Richard Glassey","type":"authors"},{"authors":["SeanRussell"],"categories":null,"content":"","date":1672272000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1672272000,"objectID":"d08ef0c8b54ff450c79968ae4f35f8e3","permalink":"https://a2r-lab.github.io/authors/seanrussell/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/seanrussell/","section":"authors","summary":"","tags":null,"title":"Seán Russell","type":"authors"},{"authors":["VincentBerry"],"categories":null,"content":"","date":1672272000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1672272000,"objectID":"e9f79882a379b615d7326a7a390d2d6b","permalink":"https://a2r-lab.github.io/authors/vincentberry/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/vincentberry/","section":"authors","summary":"","tags":null,"title":"Vincent Berry","type":"authors"},{"authors":["AleksandraFaust"],"categories":null,"content":"","date":1655251200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1655251200,"objectID":"1795cd8cab07ba86e8216311ad18cd48","permalink":"https://a2r-lab.github.io/authors/aleksandrafaust/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/aleksandrafaust/","section":"authors","summary":"","tags":null,"title":"Aleksandra Faust","type":"authors"},{"authors":["BardienusDuisterhof"],"categories":null,"content":"","date":1655251200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1655251200,"objectID":"aa73eaa8a96e68b951b00e5b79939bf0","permalink":"https://a2r-lab.github.io/authors/bardienusduisterhof/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/bardienusduisterhof/","section":"authors","summary":"","tags":null,"title":"Bardienus Duisterhof","type":"authors"},{"authors":["GuidodeCroon"],"categories":null,"content":"","date":1655251200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1655251200,"objectID":"676de9ec496d09100945186a0ce10301","permalink":"https://a2r-lab.github.io/authors/guidodecroon/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/guidodecroon/","section":"authors","summary":"","tags":null,"title":"Guido C.H.E. de Croon","type":"authors"},{"authors":["SrivatsanKrishnan"],"categories":null,"content":"","date":1655251200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1655251200,"objectID":"97923f347a8007894712c90c5ab03289","permalink":"https://a2r-lab.github.io/authors/srivatsankrishnan/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/srivatsankrishnan/","section":"authors","summary":"","tags":null,"title":"Srivatsan Krishnan","type":"authors"},{"authors":["DhilanRamaprasad"],"categories":null,"content":"","date":1653955200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1653955200,"objectID":"ffeb5c95913caab1cdf7010d1df4d6af","permalink":"https://a2r-lab.github.io/authors/dhilanramaprasad/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/dhilanramaprasad/","section":"authors","summary":"","tags":null,"title":"Dhilan Ramaprasad","type":"authors"},{"authors":["ScottKuindersma"],"categories":null,"content":"","date":1645660800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1645660800,"objectID":"21521baba64bc6a408101855f7d38209","permalink":"https://a2r-lab.github.io/authors/scottkuindersma/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/scottkuindersma/","section":"authors","summary":"","tags":null,"title":"Scott Kuindersma","type":"authors"},{"authors":["AnantAgarwal"],"categories":null,"content":"","date":1643241600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1643241600,"objectID":"76a0dfa7f6ee8d80f84f294b29de7846","permalink":"https://a2r-lab.github.io/authors/anantagarwal/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/anantagarwal/","section":"authors","summary":"","tags":null,"title":"Anant Agarwal","type":"authors"},{"authors":["DominicPajak"],"categories":null,"content":"","date":1643241600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1643241600,"objectID":"9cf7bb4b1fb0e57c9da3a668dae3bb55","permalink":"https://a2r-lab.github.io/authors/dominicpajak/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/dominicpajak/","section":"authors","summary":"","tags":null,"title":"Dominic Pajak","type":"authors"},{"authors":["DustinTingley"],"categories":null,"content":"","date":1643241600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1643241600,"objectID":"7da707ae556771ce802896810347aa99","permalink":"https://a2r-lab.github.io/authors/dustintingley/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/dustintingley/","section":"authors","summary":"","tags":null,"title":"Dustin Tingley","type":"authors"},{"authors":["LaurenceMoroney"],"categories":null,"content":"","date":1643241600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1643241600,"objectID":"8372a4979a123cf15481c7765d86a129","permalink":"https://a2r-lab.github.io/authors/laurencemoroney/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/laurencemoroney/","section":"authors","summary":"","tags":null,"title":"Laurence Moroney","type":"authors"},{"authors":["MassimoBanzi"],"categories":null,"content":"","date":1643241600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1643241600,"objectID":"70729f662a2649298ff6653b52cc83e7","permalink":"https://a2r-lab.github.io/authors/massimobanzi/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/massimobanzi/","section":"authors","summary":"","tags":null,"title":"Massimo Banzi","type":"authors"},{"authors":["BehzadBoroujerdian"],"categories":null,"content":"","date":1627776000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1627776000,"objectID":"84f31164513a8dabd952c90e7c387e25","permalink":"https://a2r-lab.github.io/authors/behzadboroujerdian/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/behzadboroujerdian/","section":"authors","summary":"","tags":null,"title":"Behzad Boroujerdian","type":"authors"},{"authors":["HasanGenc"],"categories":null,"content":"","date":1622505600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1622505600,"objectID":"3d8100b836d051494eecb47785d531bd","permalink":"https://a2r-lab.github.io/authors/hasangenc/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/hasangenc/","section":"authors","summary":"","tags":null,"title":"Hasan Genc","type":"authors"},{"authors":["SriniDevadas"],"categories":null,"content":"","date":1618185600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1618185600,"objectID":"bc237152f8055d80c2253810a15595ee","permalink":"https://a2r-lab.github.io/authors/srinidevadas/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/srinidevadas/","section":"authors","summary":"","tags":null,"title":"Srini Devadas","type":"authors"},{"authors":["ThierryTambe"],"categories":null,"content":"","date":1618185600,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1618185600,"objectID":"e5f2efb4d89bc724a2f6a9874eea67e8","permalink":"https://a2r-lab.github.io/authors/thierrytambe/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/thierrytambe/","section":"authors","summary":"","tags":null,"title":"Thierry Tambe","type":"authors"},{"authors":["CameliaBrumar"],"categories":null,"content":"","date":1569456000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1569456000,"objectID":"fd399db67eefc5375087367c6d0bfe76","permalink":"https://a2r-lab.github.io/authors/cameliabrumar/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/cameliabrumar/","section":"authors","summary":"","tags":null,"title":"Camelia D. Brumar","type":"authors"},{"authors":["DavidBrooks"],"categories":null,"content":"","date":1569456000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1569456000,"objectID":"d5ab29b4ef255d894e1fe206365bf61a","permalink":"https://a2r-lab.github.io/authors/davidbrooks/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/davidbrooks/","section":"authors","summary":"","tags":null,"title":"David Brooks","type":"authors"},{"authors":["IulianBrumar"],"categories":null,"content":"","date":1569456000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1569456000,"objectID":"deb2c384854a5f1ca554ea547fd981c2","permalink":"https://a2r-lab.github.io/authors/iulianbrumar/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/iulianbrumar/","section":"authors","summary":"","tags":null,"title":"Iulian Brumar","type":"authors"},{"authors":["SakethRama"],"categories":null,"content":"","date":1569456000,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1569456000,"objectID":"4c94f961e4b63a7c8afefeb573dcbcd8","permalink":"https://a2r-lab.github.io/authors/sakethrama/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/sakethrama/","section":"authors","summary":"","tags":null,"title":"Saketh Rama","type":"authors"},{"authors":["ArielAnders"],"categories":null,"content":"","date":1490659200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1490659200,"objectID":"364afa0e740837e064e9e34e2958d3bc","permalink":"https://a2r-lab.github.io/authors/arielanders/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/arielanders/","section":"authors","summary":"","tags":null,"title":"Ariel Anders","type":"authors"},{"authors":["SertacKaraman"],"categories":null,"content":"","date":1490659200,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1490659200,"objectID":"cf26269f4d14ad19508b7447d9cf569a","permalink":"https://a2r-lab.github.io/authors/sertackaraman/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/sertackaraman/","section":"authors","summary":"","tags":null,"title":"Sertac Karaman","type":"authors"},{"authors":["AbhinavSharma"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"268eee74f85f7431f4f4ac530e36293d","permalink":"https://a2r-lab.github.io/authors/abhinavsharma/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/abhinavsharma/","section":"authors","summary":"","tags":null,"title":"Abhinav Sharma","type":"authors"},{"authors":["admin"],"categories":null,"content":" The A²R Lab focuses on optimizing robotic systems at all scales by developing, optimizing, implementing, and evaluating next-generation algorithms and edge computational systems, through algorithm-hardware-software co-design (e.g., MPCGPU, GRiD, TinyMPC). As such, our research is at the intersection of Robotics and Computer Architecture, Embedded Systems, Numerical Optimization, and Machine Learning.\nWe also want to promote a responsible, sustainable, and accessible future for robotics and edge computing, including the development of new interdisciplinary, project-based, open-access courses that lower the barriers to entry for cutting-edge topics like robotics, parallel programming, and embedded machine learning (e.g., Global TinyML Education, Parallel Optimization for Robotics).\n","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"2525497d367e79493fd32b198b28f040","permalink":"https://a2r-lab.github.io/authors/admin/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/admin/","section":"authors","summary":"The A²R Lab focuses on optimizing robotic systems at all scales by developing, optimizing, implementing, and evaluating next-generation algorithms and edge computational systems, through algorithm-hardware-software co-design (e.g., MPCGPU, GRiD, TinyMPC). As such, our research is at the intersection of Robotics and Computer Architecture, Embedded Systems, Numerical Optimization, and Machine Learning.\nWe also want to promote a responsible, sustainable, and accessible future for robotics and edge computing, including the development of new interdisciplinary, project-based, open-access courses that lower the barriers to entry for cutting-edge topics like robotics, parallel programming, and embedded machine learning (e.","tags":null,"title":"","type":"authors"},{"authors":["AlejandraFarina"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"90dd5f07fa394cd4c99939644294305a","permalink":"https://a2r-lab.github.io/authors/alejandrafarina/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/alejandrafarina/","section":"authors","summary":"","tags":null,"title":"Alejandra Martínez Fariña","type":"authors"},{"authors":["AliceDiakova"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"af2c2af47673d6d952a7aae9f8b966e2","permalink":"https://a2r-lab.github.io/authors/alicediakova/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/alicediakova/","section":"authors","summary":"","tags":null,"title":"Alice Diakova","type":"authors"},{"authors":["AliceLin"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"33c97834846432d4dd8eda3811b3e33a","permalink":"https://a2r-lab.github.io/authors/alicelin/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/alicelin/","section":"authors","summary":"","tags":null,"title":"Alice Lin","type":"authors"},{"authors":["AliyaTang"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"c909b08d57290f660091085c393b0430","permalink":"https://a2r-lab.github.io/authors/aliyatang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/aliyatang/","section":"authors","summary":"","tags":null,"title":"Aliya Tang","type":"authors"},{"authors":["AllyceChung"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"e506d2e2fd9c22dfbf52d83f64d3314e","permalink":"https://a2r-lab.github.io/authors/allycechung/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/allycechung/","section":"authors","summary":"","tags":null,"title":"Allyce Chung","type":"authors"},{"authors":["AnaghaRam"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"f2b2a5eb2e39b0b3c0f1dd04c5062925","permalink":"https://a2r-lab.github.io/authors/anagharam/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/anagharam/","section":"authors","summary":"","tags":null,"title":"Anagha Ram","type":"authors"},{"authors":["AndreaGrillo"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"dc184cc6d0b51863e68822a45fe6e335","permalink":"https://a2r-lab.github.io/authors/andreagrillo/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/andreagrillo/","section":"authors","summary":"","tags":null,"title":"Andrea Grillo","type":"authors"},{"authors":["AnjaliSmith"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"eae4214aff58fc3970562f8078a91648","permalink":"https://a2r-lab.github.io/authors/anjalismith/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/anjalismith/","section":"authors","summary":"","tags":null,"title":"Anjali Smith","type":"authors"},{"authors":["AnnieSong"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"3133aeb7a0f2d283151ac0aeb944e089","permalink":"https://a2r-lab.github.io/authors/anniesong/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/anniesong/","section":"authors","summary":"","tags":null,"title":"Annie Song","type":"authors"},{"authors":["AntonioAranda"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"cb8a4e295b55d75031f0a3b087376f0a","permalink":"https://a2r-lab.github.io/authors/antonioaranda/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/antonioaranda/","section":"authors","summary":"","tags":null,"title":"Antonio Aranda","type":"authors"},{"authors":["BarathKumarJK"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"96955ce1e67e3fe60aa1d445d5bc4119","permalink":"https://a2r-lab.github.io/authors/barathkumarjk/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/barathkumarjk/","section":"authors","summary":"","tags":null,"title":"Barath Kumar JK","type":"authors"},{"authors":["BarkhaSeth"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"0f1eb400c7406d79156dd398e95e0d11","permalink":"https://a2r-lab.github.io/authors/barkhaseth/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/barkhaseth/","section":"authors","summary":"","tags":null,"title":"Barkha Seth","type":"authors"},{"authors":["BonnieYang"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"66a198db86ef0f1b9cfefb0342eb6ec7","permalink":"https://a2r-lab.github.io/authors/bonnieyang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/bonnieyang/","section":"authors","summary":"","tags":null,"title":"Bonnie Yang","type":"authors"},{"authors":["BrandonPae"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"d474164cdcc430049d42b19e60e7fcd1","permalink":"https://a2r-lab.github.io/authors/brandonpae/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/brandonpae/","section":"authors","summary":"","tags":null,"title":"Brandon Pae","type":"authors"},{"authors":["BrennanMcManus"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"cdbe1645db522dbc8ae64fa6d7ad6569","permalink":"https://a2r-lab.github.io/authors/brennanmcmanus/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/brennanmcmanus/","section":"authors","summary":"","tags":null,"title":"Brennan McManus","type":"authors"},{"authors":["BritneyAparicio"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"5bbf7b9a9cc0aa785d41a3c46cdc5b57","permalink":"https://a2r-lab.github.io/authors/britneyaparicio/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/britneyaparicio/","section":"authors","summary":"","tags":null,"title":"Britney Aparicio","type":"authors"},{"authors":["CarlyKiang"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"aba72babedfc1016b243f23eee68632e","permalink":"https://a2r-lab.github.io/authors/carlykiang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/carlykiang/","section":"authors","summary":"","tags":null,"title":"Carly Kiang","type":"authors"},{"authors":["CatherineJi"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"17befd440480edaa472774d9dcfbd8b2","permalink":"https://a2r-lab.github.io/authors/catherineji/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/catherineji/","section":"authors","summary":"","tags":null,"title":"Catherine Ji","type":"authors"},{"authors":["CatherineZhao"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"4f4607138c08a2fbc81c9755b06a4ea9","permalink":"https://a2r-lab.github.io/authors/catherinezhao/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/catherinezhao/","section":"authors","summary":"","tags":null,"title":"Catherine Zhao","type":"authors"},{"authors":["CharlesChen"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"4c0b96cf0d285d9b923caed1b15b4da2","permalink":"https://a2r-lab.github.io/authors/charleschen/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/charleschen/","section":"authors","summary":"","tags":null,"title":"Charles Chen","type":"authors"},{"authors":["ChloeNguyen"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"c273acddcd99528cbe5abcbdf2d9a66f","permalink":"https://a2r-lab.github.io/authors/chloenguyen/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/chloenguyen/","section":"authors","summary":"","tags":null,"title":"Chau (Chloe) Nguyen","type":"authors"},{"authors":["ClaireDawson"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"46bad3a12fcca83c62a7f97a30c26016","permalink":"https://a2r-lab.github.io/authors/clairedawson/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/clairedawson/","section":"authors","summary":"","tags":null,"title":"Claire Dawson","type":"authors"},{"authors":["ClaudiaLihar"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"16b1144df3b0e1ca6516dd044ed7be49","permalink":"https://a2r-lab.github.io/authors/claudialihar/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/claudialihar/","section":"authors","summary":"","tags":null,"title":"Claudia Lihar","type":"authors"},{"authors":["DanelleTuchman"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"1c6895425f00f548701066b7f8195399","permalink":"https://a2r-lab.github.io/authors/danelletuchman/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/danelletuchman/","section":"authors","summary":"","tags":null,"title":"Danelle Tuchman","type":"authors"},{"authors":["DonghanKim"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"2e54bf2e60ca0d0af2e18fc31f3086c9","permalink":"https://a2r-lab.github.io/authors/donghankim/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/donghankim/","section":"authors","summary":"","tags":null,"title":"Donghan (DH) Kim","type":"authors"},{"authors":["ElvinaWibisono"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"1468be89f7d86455679c7147dae0b8d2","permalink":"https://a2r-lab.github.io/authors/elvinawibisono/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/elvinawibisono/","section":"authors","summary":"","tags":null,"title":"Elvina Wibisono","type":"authors"},{"authors":["EmilyBurnett"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"ccd42c70b3a5f1e07e7c1d6a4bcebe73","permalink":"https://a2r-lab.github.io/authors/emilyburnett/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/emilyburnett/","section":"authors","summary":"","tags":null,"title":"Emily Burnett","type":"authors"},{"authors":["EricFeng"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"58f378ebdbbb943b53e357f003b66832","permalink":"https://a2r-lab.github.io/authors/ericfeng/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/ericfeng/","section":"authors","summary":"","tags":null,"title":"Eric Feng","type":"authors"},{"authors":["ErisGao"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"7c38ff6c95cee4c41c8c044d699fab35","permalink":"https://a2r-lab.github.io/authors/erisgao/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/erisgao/","section":"authors","summary":"","tags":null,"title":"Eris Gao","type":"authors"},{"authors":["GinoZhang"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"db39ca9eb50fca93e33ce7cf12e5a095","permalink":"https://a2r-lab.github.io/authors/ginozhang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/ginozhang/","section":"authors","summary":"","tags":null,"title":"En Kai \"Gino\" Zhang","type":"authors"},{"authors":["HabeebaMansour"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"d33564e0d41be1eaab31200edd395797","permalink":"https://a2r-lab.github.io/authors/habeebamansour/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/habeebamansour/","section":"authors","summary":"","tags":null,"title":"Habeeba Mansour","type":"authors"},{"authors":["HalSpeed"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"a93f77510fc5caa1adbdd2084b7d78f8","permalink":"https://a2r-lab.github.io/authors/halspeed/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/halspeed/","section":"authors","summary":"","tags":null,"title":"Hal Speed","type":"authors"},{"authors":["HanLin"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"e15c6cdf4c0fb09f43dc7d0be834c4dd","permalink":"https://a2r-lab.github.io/authors/hanlin/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/hanlin/","section":"authors","summary":"","tags":null,"title":"Han Lin","type":"authors"},{"authors":["JenniferLuo"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"c951459995fd1c8eec82fc26c46807a4","permalink":"https://a2r-lab.github.io/authors/jenniferluo/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jenniferluo/","section":"authors","summary":"","tags":null,"title":"Jennifer Luo","type":"authors"},{"authors":["JessicaZhang"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"722de5c276307d2f5af6abab8757e706","permalink":"https://a2r-lab.github.io/authors/jessicazhang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jessicazhang/","section":"authors","summary":"","tags":null,"title":"Jessica Zhang","type":"authors"},{"authors":["JianghanZhang"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"e103acdefde0af53c13981208ec3f473","permalink":"https://a2r-lab.github.io/authors/jianghanzhang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jianghanzhang/","section":"authors","summary":"","tags":null,"title":"Jianghan Zhang","type":"authors"},{"authors":["JiayiWang"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"51deef651c6ee032e664f265b72b25c7","permalink":"https://a2r-lab.github.io/authors/jiayiwang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jiayiwang/","section":"authors","summary":"","tags":null,"title":"Jiayi Wang","type":"authors"},{"authors":["JonathanNalikka"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"df0e31f0ec25f790c8c5bd3e690cfe1c","permalink":"https://a2r-lab.github.io/authors/jonathannalikka/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/jonathannalikka/","section":"authors","summary":"","tags":null,"title":"Jonathan Nalikka","type":"authors"},{"authors":["JuliannaYu"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"0f0bc78c8f45ed3420a6762d2ee6da16","permalink":"https://a2r-lab.github.io/authors/juliannayu/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/juliannayu/","section":"authors","summary":"","tags":null,"title":"Julianna Yu","type":"authors"},{"authors":["JustinHaddad"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"c8fcb77307b1f4e3f6d2bb2b2b665da2","permalink":"https://a2r-lab.github.io/authors/justinhaddad/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/justinhaddad/","section":"authors","summary":"","tags":null,"title":"Justin Haddad","type":"authors"},{"authors":["KaiZhang"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"93ced1467903687379199544ca323cef","permalink":"https://a2r-lab.github.io/authors/kaizhang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/kaizhang/","section":"authors","summary":"","tags":null,"title":"Kai Zhang","type":"authors"},{"authors":["KevinLuo"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"b982015090eb9b0563d2afa31c3bc508","permalink":"https://a2r-lab.github.io/authors/kevinluo/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/kevinluo/","section":"authors","summary":"","tags":null,"title":"Kevin Luo","type":"authors"},{"authors":["KhadijaSiddiqui"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"615af8625287f2a00201dc509697b9d8","permalink":"https://a2r-lab.github.io/authors/khadijasiddiqui/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/khadijasiddiqui/","section":"authors","summary":"","tags":null,"title":"Khadija Siddiqui","type":"authors"},{"authors":["KimiyaShahamat"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"6989d3416a99dca107da58b2f8bb3fd4","permalink":"https://a2r-lab.github.io/authors/kimiyashahamat/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/kimiyashahamat/","section":"authors","summary":"","tags":null,"title":"Kimiya Shahamat","type":"authors"},{"authors":["KofiMeighan"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"1436b2013da1f7dd65834052efa99c53","permalink":"https://a2r-lab.github.io/authors/kofimeighan/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/kofimeighan/","section":"authors","summary":"","tags":null,"title":"Kofi Meighan","type":"authors"},{"authors":["KwamenaAwotwi"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"9cadda35c76b9e752c6104b1e567d628","permalink":"https://a2r-lab.github.io/authors/kwamenaawotwi/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/kwamenaawotwi/","section":"authors","summary":"","tags":null,"title":"Kwamena Awotwi","type":"authors"},{"authors":["LouisZheng"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"c1f5e18c8e06f3f18f59e055ca57639f","permalink":"https://a2r-lab.github.io/authors/louiszheng/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/louiszheng/","section":"authors","summary":"","tags":null,"title":"Louis Zheng","type":"authors"},{"authors":["LuanaLiao"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"a0649c993bd9dc4fc8168417ea29afd6","permalink":"https://a2r-lab.github.io/authors/luanaliao/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/luanaliao/","section":"authors","summary":"","tags":null,"title":"Luana Liao","type":"authors"},{"authors":["LuciFeinberg"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"c56e9f263e94b4b01827fa2b7672a270","permalink":"https://a2r-lab.github.io/authors/lucifeinberg/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/lucifeinberg/","section":"authors","summary":"","tags":null,"title":"Luci Feinberg","type":"authors"},{"authors":["MalikEndsley"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"fd56d3f83706e645dab3cfd04d039db0","permalink":"https://a2r-lab.github.io/authors/malikendsley/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/malikendsley/","section":"authors","summary":"","tags":null,"title":"Malik Endsley","type":"authors"},{"authors":["MerrickWolfley"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"65e08320f83b0126a1d6fec24eabdea5","permalink":"https://a2r-lab.github.io/authors/merrickwolfley/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/merrickwolfley/","section":"authors","summary":"","tags":null,"title":"Merrick Wolfley","type":"authors"},{"authors":["MikulSaravanan"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"da414f11833acbef926af6d68502b9b7","permalink":"https://a2r-lab.github.io/authors/mikulsaravanan/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/mikulsaravanan/","section":"authors","summary":"","tags":null,"title":"Mikul Saravanan","type":"authors"},{"authors":["NadimKanazi"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"c8972560a7244cde9bb431afbff4c655","permalink":"https://a2r-lab.github.io/authors/nadimkanazi/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/nadimkanazi/","section":"authors","summary":"","tags":null,"title":"Nadim Kanazi","type":"authors"},{"authors":["NarenLoganathan"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"9d1c801ceaa9417f4e267e195065e0f4","permalink":"https://a2r-lab.github.io/authors/narenloganathan/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/narenloganathan/","section":"authors","summary":"","tags":null,"title":"Naren Loganathan","type":"authors"},{"authors":["NeashaMittal"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"e9c81f2e667dce0f0576ac3fa78eaa00","permalink":"https://a2r-lab.github.io/authors/neashamittal/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/neashamittal/","section":"authors","summary":"","tags":null,"title":"Neasha Mittal","type":"authors"},{"authors":["NickLuo"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"b401aaa8c95a41813f8682bc7eb223f1","permalink":"https://a2r-lab.github.io/authors/nickluo/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/nickluo/","section":"authors","summary":"","tags":null,"title":"Nick Luo","type":"authors"},{"authors":["NickThevenin"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"d59c7f874cfb74ad1dd56f8257b975e8","permalink":"https://a2r-lab.github.io/authors/nickthevenin/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/nickthevenin/","section":"authors","summary":"","tags":null,"title":"Nick Thevenin","type":"authors"},{"authors":["NicoleIneza"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"488ee2687fa92ab4bc9e68c6e5a2e7a7","permalink":"https://a2r-lab.github.io/authors/nicoleineza/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/nicoleineza/","section":"authors","summary":"","tags":null,"title":"Nicole Ineza","type":"authors"},{"authors":["NolanTremmeling"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"70179a024290f6c483395b99837efd0f","permalink":"https://a2r-lab.github.io/authors/nolantremmeling/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/nolantremmeling/","section":"authors","summary":"","tags":null,"title":"Nolan Tremmeling","type":"authors"},{"authors":["PataradaYontrarak"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"8834978639e41aed03c0851190772f9d","permalink":"https://a2r-lab.github.io/authors/pataradayontrarak/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/pataradayontrarak/","section":"authors","summary":"","tags":null,"title":"Patarada \"Pru\" Yontrarak","type":"authors"},{"authors":["RoyXing"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"3c3dfadc4baa44a2bdd836a5e6617ade","permalink":"https://a2r-lab.github.io/authors/royxing/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/royxing/","section":"authors","summary":"","tags":null,"title":"Roy Xing","type":"authors"},{"authors":["SamarthAgrawal"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"c3a11df8216f6a97fdd56c91dcef58ec","permalink":"https://a2r-lab.github.io/authors/samarthagrawal/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/samarthagrawal/","section":"authors","summary":"","tags":null,"title":"Samarth Agrawal","type":"authors"},{"authors":["SeojinYoon"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"d44cbf2f2f77d30427a62f74bc94f51c","permalink":"https://a2r-lab.github.io/authors/seojinyoon/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/seojinyoon/","section":"authors","summary":"","tags":null,"title":"Seojin \"Heidi\" Yoon","type":"authors"},{"authors":["SeyoungRee"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"bd8dcf34d4dec878a5684831b9638d1a","permalink":"https://a2r-lab.github.io/authors/seyoungree/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/seyoungree/","section":"authors","summary":"","tags":null,"title":"Seyoung Ree","type":"authors"},{"authors":["ShobiniIyer"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"cb3e468a72d9aecff44fb989fb2bf5ef","permalink":"https://a2r-lab.github.io/authors/shobiniiyer/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/shobiniiyer/","section":"authors","summary":"","tags":null,"title":"Shobini Iyer","type":"authors"},{"authors":["SkylaCui"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"c596ca7aef98009c33b1756b4e4d1fca","permalink":"https://a2r-lab.github.io/authors/skylacui/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/skylacui/","section":"authors","summary":"","tags":null,"title":"Skyla Cui","type":"authors"},{"authors":["SrishtiSrivastava"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"d35adc72b5116a4e83384ef269cd78b2","permalink":"https://a2r-lab.github.io/authors/srishtisrivastava/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/srishtisrivastava/","section":"authors","summary":"","tags":null,"title":"Srishti Srivastava","type":"authors"},{"authors":["SusannahAbrams"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"0932c3a305b9f0532937d13b04d4e536","permalink":"https://a2r-lab.github.io/authors/susannahabrams/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/susannahabrams/","section":"authors","summary":"","tags":null,"title":"Susannah Abrams","type":"authors"},{"authors":["TaraBogavelli"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"f72cfa703351053771ca763bd695720c","permalink":"https://a2r-lab.github.io/authors/tarabogavelli/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/tarabogavelli/","section":"authors","summary":"","tags":null,"title":"Tara Bogavelli","type":"authors"},{"authors":["TramyDong"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"de2d85fedb2af5fd09a25bbe6243e9b7","permalink":"https://a2r-lab.github.io/authors/tramydong/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/tramydong/","section":"authors","summary":"","tags":null,"title":"Tramy Dong","type":"authors"},{"authors":["VasaviNarayana"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"39cedb917fcb1d50c002d34bf76acc54","permalink":"https://a2r-lab.github.io/authors/vasavinarayana/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/vasavinarayana/","section":"authors","summary":"","tags":null,"title":"Vasavi Narayana","type":"authors"},{"authors":["VenkatBitra"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"001d626cf2fb092c35aead4cb50deb32","permalink":"https://a2r-lab.github.io/authors/venkatbitra/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/venkatbitra/","section":"authors","summary":"","tags":null,"title":"Venkat Bitra","type":"authors"},{"authors":["VidushiJindal"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"3244c61cf70a7826ca410778b3bad537","permalink":"https://a2r-lab.github.io/authors/vidushijindal/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/vidushijindal/","section":"authors","summary":"","tags":null,"title":"Vidushi Jindal","type":"authors"},{"authors":["XianJiang"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"83219b9abbac9fba725b7c4ea798e47b","permalink":"https://a2r-lab.github.io/authors/xianjiang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/xianjiang/","section":"authors","summary":"","tags":null,"title":"Xian Jiang","type":"authors"},{"authors":["XinchenZhang"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"09ea7633cdb2a3559a6597945ae776a1","permalink":"https://a2r-lab.github.io/authors/xinchenzhang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/xinchenzhang/","section":"authors","summary":"","tags":null,"title":"Xinchen Zhang","type":"authors"},{"authors":["YahyaElGawady"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"eb4ef3dbec93b6cad53b41435528a304","permalink":"https://a2r-lab.github.io/authors/yahyaelgawady/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/yahyaelgawady/","section":"authors","summary":"","tags":null,"title":"Yahya ElGawady","type":"authors"},{"authors":["YanaBotvinnik"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"cd576e14b9a56434d3c4b0f00454e56b","permalink":"https://a2r-lab.github.io/authors/yanabotvinnik/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/yanabotvinnik/","section":"authors","summary":"","tags":null,"title":"Yana Botvinnik","type":"authors"},{"authors":["YizhenZhang"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"69badf29aab5cac1e856efe4d792161b","permalink":"https://a2r-lab.github.io/authors/yizhenzhang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/yizhenzhang/","section":"authors","summary":"","tags":null,"title":"Yizhen Zhang","type":"authors"},{"authors":["ZacharyPestrikov"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"f8f950cf867d21713c8b131969a1f5af","permalink":"https://a2r-lab.github.io/authors/zacharypestrikov/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/zacharypestrikov/","section":"authors","summary":"","tags":null,"title":"Zachary Pestrikov","type":"authors"},{"authors":["Thomas Lew","Marcus Greiff","John Subosits","Brian Plancher"],"categories":null,"content":" ","date":1783382400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1783382400,"objectID":"75f828cc0a1c18b56ce850148bd02a10","permalink":"https://a2r-lab.github.io/publication/admmslack/","publishdate":"2025-11-11T00:00:00Z","relpermalink":"/publication/admmslack/","section":"publication","summary":"We propose a simple ADMM scheme to tackle QPs with slack variables without increasing the size of the original problem. The only modification is a slightly different projection in the z-update, while the rest of the algorithm remains standard. We prove that the method is equivalent to applying ADMM to the QP with additional slack variables, even though slack variables are not added. Numerical experiments show speedups of the approach.","tags":["Optimal Control","ADMM"],"title":"Solving Quadratic Programs with Slack Variables via ADMM without Increasing the Problem Size","type":"publication"},{"authors":["Alex Du","Emre Adabag","Gabriel Bravo Palacios","Brian Plancher"],"categories":null,"content":" ","date":1780308001,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1780308001,"objectID":"b5b90d487044c06e72d1512368c44617","permalink":"https://a2r-lab.github.io/publication/gato/","publishdate":"2025-10-09T10:00:00Z","relpermalink":"/publication/gato/","section":"publication","summary":"We present GATO, an open source, GPU-accelerated, batched TO solver co-designed across algorithm, software, and computational hardware to deliver real-time throughput for these moderate batch size regimes. Our approach leverages a combination of block-, warp-, and thread-level parallelism within and across solves for ultra-high performance. We demonstrate the effectiveness of our approach through a combination of: simulated benchmarks showing speedups of 18-21x over CPU baselines and 1.4-16x over GPU baselines as batch size increases; case studies highlighting improved disturbance rejection and convergence behavior; and finally a validation on hardware using an industrial manipulator. We open source GATO to support reproducibility and adoption.","tags":["Model Predictive Control","Parallel Computing","GPU","Linear Systems","Iterative Methods","Trajectory Optimization"],"title":"GATO: GPU-Accelerated and Batched Trajectory Optimization for Scalable Edge Model Predictive Control","type":"publication"},{"authors":["Ishaan Mahajan","Khai Nguyen","Sam Schoedel","Elakhya Nedumaran","Moises Mata","Brian Plancher","Zachary Manchester"],"categories":null,"content":" ","date":1780308000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1780308000,"objectID":"bd557c7d79c719f055e1474f05d99635","permalink":"https://a2r-lab.github.io/publication/conictinympc/","publishdate":"2024-03-26T00:00:00Z","relpermalink":"/publication/conictinympc/","section":"publication","summary":"We extend TinyMPC, an open-source, high-speed solver targeting low-power embedded control applications, to provide support for second-order cones, as well as `C++` code generation from `Python`, `MATLAB`, and `Julia` for easy deployment. Microcontroller benchmarks show that our solver provides up to a two-order-of-magnitude speedup, ranging from 10.6x to 142.7x, over state-of-the-art embedded solvers on QP and SOCP problems, and enables us to fit order-of-magnitude larger problems in memory. We validate our solver's deployed performance through simulation and hardware experiments, including conically-constrained trajectory tracking on a 27g Crazyflie quadrotor. To get started with Conic-TinyMPC, visit our documentation, examples, and the open-source codebase at [tinympc.org](https://tinympc.org/).","tags":["Model Predictive Control","Embedded Systems","Edge Computing","Quadrotor","Code Generation","Conic Constraints"],"title":"Code Generation and Conic Constraints for Model-Predictive Control on Microcontrollers with Conic-TinyMPC","type":"publication"},{"authors":["Chih Huang","Pranav Jadhav","Brian Plancher","Zachary Kingston"],"categories":null,"content":" ","date":1780308000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1780308000,"objectID":"cf840aa4f4652485272af283139466f6","permalink":"https://a2r-lab.github.io/publication/prrtc/","publishdate":"2025-10-07T00:00:00Z","relpermalink":"/publication/prrtc/","section":"publication","summary":"In this work we present pRRTC, a RRT-Connect based planner co-designed for GPU acceleration across the entire algorithm through parallel expansion and SIMT-optimized collision checking. We evaluate the effectiveness of pRRTC on the MotionBenchMaker dataset using robots with 7, 8, and 14 degrees of freedom (DoF). Compared to the state-of-the-art, pRRTC achieves as much as a 10× speedup on constrained reaching tasks with a 5.4× reduction in standard deviation. pRRTC also achieves a 1.4× reduction in average initial path cost. Finally, we deploy pRRTC on a 14-DoF dual Franka Panda arm setup and demonstrate real-time, collision-free motion planning with dynamic obstacles. We open-source our planner to support the wider community.","tags":["Motion Planning","Parallel Computing","GPU"],"title":"pRRTC: GPU-Parallel RRT-Connect for Fast, Consistent, and Low-Cost Motion Planning","type":"publication"},{"authors":["Shuo \"Chris\" Sha","Anupam Bhakta","Justin Jiang","Kevin Qiu","Ishaan Mahajan","Gabriel Bravo Palacios","Brian Plancher"],"categories":null,"content":" ","date":1780272000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1780272000,"objectID":"16e00196c29e79ad73f67fc190d3fbbd","permalink":"https://a2r-lab.github.io/publication/kaczmarz/","publishdate":"2025-10-06T00:00:00Z","relpermalink":"/publication/kaczmarz/","section":"publication","summary":"We introduce TAG-K, a lightweight extension of the Kaczmarz method that combines greedy randomized row selection for rapid convergence with tail averaging for robustness under noise and inconsistency. This design enables fast, stable parameter adaptation while retaining the low per-iteration complexity inherent to the Kaczmarz framework. We evaluate TAG-K in synthetic benchmarks and quadrotor tracking tasks against RLS, KF, and other Kaczmarz variants. TAG-K achieves 1.5x-1.9x faster solve times on laptop-class CPUs and 4.8x-20.7x faster solve times on embedded microcontrollers. More importantly, these speedups are paired with improved resilience to measurement noise and a 25% reduction in estimation error, leading to nearly 2x better end-to-end tracking performance.","tags":["Parameter Estimation","Embedded Systems","Edge Computing"],"title":"TAG-K: Tail-Averaged Greedy Kaczmarz for Computationally Efficient and Performant Online Inertial Parameter Estimation","type":"publication"},{"authors":["Matthew Stewart","Yuke Zhang","Pete Warden","Yasmine Omri","Shvetank Prakash","Jacob Huckelberry","Joao Santos","Shawn Hymel","Benjamin Brown","Jim MacArthur","Nat Jeffries","Emanuel Moss","Mona Sloane","Brian Plancher","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1769817600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1769817600,"objectID":"ea26fa11a86f4f1e6c4f9d2a05e9e518","permalink":"https://a2r-lab.github.io/publication/mlsensorsdatasheet/","publishdate":"2023-06-15T00:00:00Z","relpermalink":"/publication/mlsensorsdatasheet/","section":"publication","summary":"We introduce the datasheet for ML sensors framework. We provide a comprehensive template, collaboratively developed in academia—industry partnerships, that captures the distinct attributes of ML sensors, including hardware specifications, ML model and dataset characteristics, end-to-end performance metrics, and environmental impacts. Our framework addresses the continuous streaming nature of sensor data, real-time processing requirements, and embeds benchmarking methodologies that reflect real-world deployment conditions, ensuring practical viability. Aligned with the FAIR principles (Findability, Accessibility, Interoperability, and Reusability), our approach enhances the transparency and reusability of ML sensor documentation across academic, industrial, and regulatory domains.","tags":["ML Sensors","Edge ML","TinyML","Machine Learning","Embedded Systems","Privacy","Sustainability"],"title":"Datasheets for Machine Learning Sensors","type":"publication"},{"authors":["Konstantinos Chatzilygeroudis","Shivesh Kumar","Brian Plancher","Zachary Manchester","Enrico Mingo Hoffman","Patrick Wensing"],"categories":null,"content":" ","date":1765411200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1765411200,"objectID":"fd6127f006d8bface1b3e60fdcd94c57","permalink":"https://a2r-lab.github.io/publication/optrobsummerschool2025ram/","publishdate":"2025-12-11T00:00:00Z","relpermalink":"/publication/optrobsummerschool2025ram/","section":"publication","summary":"The 2025 Summer School on Optimization for Robotics took place on 14–18 July 2025 at the University of Patras in Patras, Greece. The event brought together researchers, students, and practitioners from across the world to learn, exchange ideas, and gain hands-on experience at the forefront of optimization methods for robotics. Overall, we had 89 total participants (∼7% undergraduate, ∼8% industry/engineer/faculty, ∼18% masters, and ∼66% Ph.D.) from more than 20 countries spanning four continents. The weeklong program featured a balanced mix of lectures, plenary talks, daily practical sessions, live demos, and social activities. The lectures covered foundational and advanced topics in optimization for planning, control, and learning in robotics, while the plenary speakers provided broad perspectives on emerging research directions and industrial applications.","tags":["Robotics","Optimization","Education"],"title":"The 2025 Summer School on Optimization for Robotics","type":"publication"},{"authors":["Alp Eren Yilmaz","Thomas Bourgeat","Lillian Pentecost","Brian Plancher","Sabrina M. Neuman"],"categories":null,"content":" ","date":1765238400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1765238400,"objectID":"9976bd4a417100519db9a5ec27de2714","permalink":"https://a2r-lab.github.io/publication/roboprec/","publishdate":"2025-12-09T00:00:00Z","relpermalink":"/publication/roboprec/","section":"publication","summary":"We introduce the RoboPrec framework, where we: (i) develop a transpiler that integrates code transformations and robot-specific code generation with traditional numerical stability analysis methods (which calculate error bounds), and adapts them to be practical for robotics software; and then leverage this to (ii) generate guaranteed-accuracy fixed-point code that is deployable to embedded computing platforms. We use rigid body dynamics, a fundamental robotics workload, as a motivating case study. We find that RoboPrec-generated 32-bit fixed-point code can be up to 8x faster than float and 122x faster than double on embedded processors while, critically, also providing guaranteed accuracy bounds with lower worst-case error than float.","tags":["Numerical Stability","Mixed Precision","Transpiler"],"title":"RoboPrec: Enabling Reliable Embedded Computing for Robotics by Providing Accuracy Guarantees Across Mixed-Precision Datatypes","type":"publication"},{"authors":["Jonathan S. Kent","Eliana Stefani","Brian Plancher"],"categories":null,"content":" ","date":1764633600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1764633600,"objectID":"cc2c80e5463602d2a777b692a0490ec2","permalink":"https://a2r-lab.github.io/publication/phireman/","publishdate":"2025-12-02T00:00:00Z","relpermalink":"/publication/phireman/","section":"publication","summary":"This paper introduces and formalizes the problem of Robust Task Networking Under Attrition (RTNUA), which extends connectivity maintenance in multi-robot systems to explicitly address proactive redundancy and attrition recovery. We introduce Physics-Informed Robust Employment of Multi-Agent Networks (ΦIREMAN), a topological algorithm leveraging physics-inspired potential fields to solve this problem. Through simulation across 25 problem configurations, ΦIREMAN consistently outperforms the DCCRS baseline, and on large-scale problems with up to 100 tasks and 500 drones, maintains \u003e99.9% task uptime despite substantial attrition, demonstrating both effectiveness and scalability.","tags":["Multi-Agent Systems","Communication"],"title":"Robust Geospatial Coordination of Multi-Agent Communications Networks Under Attrition","type":"publication"},{"authors":["Zhenyu Wu","Brian Plancher","Ian McInerney","Hayden Kwok-Hay So","Maolin Wang","Kwang-Ting Cheng"],"categories":null,"content":" ","date":1764547200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1764547200,"objectID":"d6692d5b2ecb4a171a87f739922c614e","permalink":"https://a2r-lab.github.io/publication/fpgatinympc/","publishdate":"2025-12-09T00:00:00Z","relpermalink":"/publication/fpgatinympc/","section":"publication","summary":"We developed a flexible MPC solver hardware generation framework which includes a parameterized and programmable vector architecture template that accommodates instruction-level and data-level parallelism in vector and matrix functional units, and a model-specific fused architecture. Implementation of the proposed processor on the Ultra96 platform achieves up to a 9.73x speedup compared to existing generic solutions on MCUs. Moreover, end-to-end performance tests reveal that this speedup reduces the overall control error by 25.96%.","tags":["Hardware Acceleration","Model Predictive Control","FPGA"],"title":"MPC Solver Hardware Generation Framework with Model-Specific Operation Fusion and Pruning","type":"publication"},{"authors":["Cael Yasutake","Zachary Kingston","Brian Plancher"],"categories":null,"content":" ","date":1759968000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1759968000,"objectID":"7932ace0f932ce474963c3682f9e9522","permalink":"https://a2r-lab.github.io/publication/hjcdik/","publishdate":"2025-10-09T00:00:00Z","relpermalink":"/publication/hjcdik/","section":"publication","summary":"We introduce HJCD-IK, a GPU-accelerated, sampling-based hybrid Inverse Kinematics (IK) solver that combines an orientation-aware greedy coordinate descent initialization scheme with a Jacobian-based polishing routine. This design enables our solver to improve both convergence speed and overall accuracy as compared to the state-of-the-art, consistently finding solutions along the accuracy-latency Pareto frontier and often achieving order-of-magnitude gains. In addition, our method produces a broad distribution of high-quality samples, yielding the lowest maximum mean discrepancy. We release our code open-source for the benefit of the community.","tags":["Motion Planning","Parallel Computing","GPU"],"title":"HJCD-IK: GPU-Accelerated Inverse Kinematics through Batched Hybrid Jacobian Coordinate Descent","type":"publication"},{"authors":["Ishaan Mahajan","Brian Plancher"],"categories":null,"content":" ","date":1750377600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1750377600,"objectID":"d70775f0b0d525ac0d0797636af91609","permalink":"https://a2r-lab.github.io/publication/adaptivetinympc/","publishdate":"2025-06-20T00:00:00Z","relpermalink":"/publication/adaptivetinympc/","section":"publication","summary":"In this work, we introduce First-Order Adaptive Caching, which precomputes not only select matrix operations but also their sensitivities to hyperparameter variations, enabling online hyperparameter updates without full recomputation of the cache. We demonstrate the effectiveness of our approach on a number of dynamic quadrotor tasks, achieving up to a 63.4% reduction in ADMM iterations over the use of optimized fixed hyperparameters and approaching 70% of the performance of a full cache recomputation, while reducing the computational cost from O(n^3) to O(n^2) complexity. This performance enables us to perform figure-eight trajectories on a 27g tiny quadrotor under wind disturbances.","tags":["Model Predictive Control","Embedded Systems","Edge Computing","Quadrotor","Adaptive Updates","Numerical Optimziation"],"title":"Robust and Efficient Embedded Convex Optimization through First-Order Adaptive Caching","type":"publication"},{"authors":["Charles J. Carver","Hadleigh Schwartz","Toma Itagaki","Zachary Englhardt","Kechen Liu","Megan Graciela Nauli Manik","Chun-Cheng Chang","Vikram Iyer","Brian Plancher","Xia Zhou"],"categories":null,"content":" ","date":1745452800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1745452800,"objectID":"bd620c4d16e958e73676686406717290","permalink":"https://a2r-lab.github.io/publication/phaser/","publishdate":"2025-04-24T00:00:00Z","relpermalink":"/publication/phaser/","section":"publication","summary":"We present Phaser, a flexible system that directs narrow-beam laser light to moving robots for concurrent wireless power delivery and communication. We design a semi-automatic calibration procedure to enable fusion of stereo-vision-based 3D robot tracking with high-power beam steering, and a low-power optical communication scheme that reuses the laser light as a data channel. We fabricate a Phaser prototype using off-the-shelf hardware and evaluate its performance with battery-free autonomous robots.","tags":["Tiny Robots","Wireless Power","Lasers"],"title":"Set Phasers to Stun: Beaming Power and Control to Mobile Robots with Laser Light","type":"publication"},{"authors":["Shaohui Yang","Toshiyuki Ohtsuka","Brian Plancher","Colin N. Jones "],"categories":null,"content":" ","date":1742860803,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1742860803,"objectID":"524b2a3ca2ba02701e31582ead32100f","permalink":"https://a2r-lab.github.io/publication/polynomialprecon/","publishdate":"2025-03-25T00:00:00Z","relpermalink":"/publication/polynomialprecon/","section":"publication","summary":"The efficient solution of moderately large-scale linear systems arising from the KKT conditions in optimal control problems (OCPs) is a critical challenge in robotics. With the stagnation of Moore’s law, there is growing interest in leveraging GPU-accelerated iterative methods, and corresponding parallel preconditioners, to overcome these computational challenges. To improve the performance of such solvers, we introduce a parallel-friendly, parametrized multi-splitting polynomial preconditioner framework. We first construct and prove the optimal parametrization theoretically in terms of the least amount of distinct eigenvalues and the narrowest spectrum range. We then compare the theoretical time complexity of solving the linear system directly or iteratively. We finally show through numerical experiments how much the preconditioning improves the convergence of OCP linear systems solves.","tags":["Linear Systems","Iterative Methods","Preconditioning","Trajectory Optimization"],"title":"Polynomial and Parallelizable Preconditioning for Block Tridiagonal Positive Definite Matrices","type":"publication"},{"authors":["Mona Sloane","Emanuel Moss","Susan Kennedy","Matthew Stewart","Pete Warden","Brian Plancher","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1742428800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1742428800,"objectID":"812ef95f875ee8f5b6ccaf34c990060a","permalink":"https://a2r-lab.github.io/publication/materiality/","publishdate":"2024-02-17T00:00:00Z","relpermalink":"/publication/materiality/","section":"publication","summary":"Artificial intelligence (AI) systems connected to sensor-laden devicesare becoming pervasive, which has notable implications for a range of AIrisks, including to privacy, the environment, autonomy and more. Thereis therefore a growing need for increased accountability around theresponsible development and deployment of these technologies. Herewe highlight the dimensions of risk associated with AI systems that arisefrom the material affordances of sensors and their underlying calculativemodels. We propose a sensor-sensitive framework for diagnosing theserisks, complementing existing approaches such as the US National Institute of Standards and Technology AI Risk Management Framework and the European Union AI Act, and discuss its implementation. We concludeby advocating for increased attention to the materiality of algorithmicsystems, and of on-device AI sensors in particular, and highlight the needfor development of a sensor design paradigm that empowers users andcommunities and leads to a future of increased fairness, accountability andtransparency.","tags":["Sensors","Materiality","Risk","Artificial Intelligence","Edge ML","TinyML","Privacy","Machine Learning","Embedded Systems"],"title":"Materiality and Risk in the Age of Pervasive AI Sensors","type":"publication"},{"authors":["Ena Selman-Housein","Brian Plancher"],"categories":null,"content":" ","date":1740009600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1740009600,"objectID":"172a6b814fb7c30851b04fe0d6f2be5b","permalink":"https://a2r-lab.github.io/publication/improvingrepresentationcyber/","publishdate":"2025-02-20T00:00:00Z","relpermalink":"/publication/improvingrepresentationcyber/","section":"publication","summary":"Computer science (CS) and engineering research both have large and well documented gender diversity gaps. In fact, previous studies have reported that the overall CS Female Author Ratio (FAR) is only in the range of 16-26% and varies significantly between CS subfields ranging from as high as 42% in CS Education to as low as 8% in Theory and Algorithms. To understand the current state of gender diversity of robotics, we recently collected and analyzed the gender of paper authors from all IEEE RAS fully sponsored conferences (ARSO, CASE, HAPTICS, Humanoids, ICRA, ISAM, MEMS, RoboSoft, SIMPAR, SSRR) as well as IROS and RA-L from 2019-2021. Overall, we find that robotics has a long way to go to reach gender parity, with an overall FAR of only 11-12%. We hope this analysis helps the robotics community to continue to emphasize the importance of working to improve our diversity.","tags":["Cybersecurity","Women","Gender","Representation"],"title":"Improving the Representation of Undergraduate Women in Cybersecurity: A Literature Review","type":"publication"},{"authors":["Emre Adabag","Xueyi Bu","Khai Nguyen","Sam Schoedel","Anoushka Alavilli","Miloni Atal","William Gerard","Elakhya Nedumaran","Zachary Manchester","Brian Plancher"],"categories":null,"content":" ","date":1721001600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1721001600,"objectID":"383e42e177c2ee7cc1bb5c2b26e90fd9","permalink":"https://a2r-lab.github.io/publication/optimizingatallscales/","publishdate":"2024-07-15T00:00:00Z","relpermalink":"/publication/optimizingatallscales/","section":"publication","summary":"In our recent works, by leveraging a combination of parallelism, approximation, and structure exploitation, we have enabled and accelerated (nonlinear) trajectory optimization solvers for real-time performance on non-standard computational hardware, ranging from microcontrollers (MCUs) to graphical processing units (GPUs). This has led to real-time MPC onboard an MCU powered 27g quadrotor for dynamic obstacle avoidance, as well as simulated whole-body nonlinear MPC at kHz rates for a GPU powered manipulator for high speed trajectory tracking.","tags":["Model Predictive Control","Parallel Computing","GPU","Embedded Systems","Edge Computing","MCU","Linear Systems","Iterative Methods","Trajectory Optimization"],"title":"Optimizing at All Scales: Edge (Non)linear Model Predictive Control from MCUs to GPUs","type":"publication"},{"authors":["Sabrina M. Neuman","Brian Plancher","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1719360000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1719360000,"objectID":"505a4a9e6e984f6a82a0ebeb6118c343","permalink":"https://a2r-lab.github.io/publication/magnificentseven/","publishdate":"2024-06-26T00:00:00Z","relpermalink":"/publication/magnificentseven/","section":"publication","summary":"In this work, we present the Magnificent Seven Challenges in domain-specific accelerator design that can guide adventurous architects to contribute meaningfully to novel application domains. Although these challenges appear across domains ranging from ML to genomics, we examine them through the lens of autonomous systems as a motivating example in this work. To that end, we identify opportunities for the path forward in a successful domain-specific accelerator design from these challenges.","tags":["Hardware Acceleration","Parallel Computing","GPU","FPGA","ASIC","Robotics","Autonomous Systems"],"title":"Invited: The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems","type":"publication"},{"authors":["Brian Plancher"],"categories":null,"content":" ","date":1716768000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1716768000,"objectID":"78d920ad8f7c2a1c189898fc23de3a28","permalink":"https://a2r-lab.github.io/publication/paroptrobcourse/","publishdate":"2024-05-27T00:00:00Z","relpermalink":"/publication/paroptrobcourse/","section":"publication","summary":"While parallel programming, particularly on graphics processing units (GPUs), and numerical optimization hold immense potential to tackle real-world computational challenges across disciplines, their inherent complexity and technical demands often act as daunting barriers to entry. This, unfortunately, limits accessibility and diversity within these crucial areas of computer science. To combat this challenge and ignite excitement among undergraduate learners, we developed an application-driven course, harnessing robotics as a lens to demystify the intricacies of these topics making them tangible and engaging. Our course's prerequisites are limited to the required undergraduate introductory core curriculum, opening doors for a wider range of students. Our course also features a large final-project component to connect theoretical learning to applied practice. In our first offering of the course we attracted 27 students without prior experience in these topics and found that an overwhelming majority of the students felt that they learned both technical and soft skills such that they felt prepared for future study in these fields.","tags":["GPU Programming","Numerical Optimizaiton","Robotics","CS Education","Parallel Computing"],"title":"Parallel Optimization for Robotics: An Undergraduate Introduction to GPU Parallel Programming and Numerical Optimization Research","type":"publication"},{"authors":["Khai Nguyen","Sam Schoedel","Anoushka Alavilli","Brian Plancher","Zachary Manchester"],"categories":null,"content":" ","date":1715558405,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1715558405,"objectID":"70114735f94a3a53b95062bb77e1517f","permalink":"https://a2r-lab.github.io/publication/tinympc/","publishdate":"2023-10-25T00:00:00Z","relpermalink":"/publication/tinympc/","section":"publication","summary":"Model-predictive control (MPC) is a powerful tool for controlling highly dynamic robotic systems subject to complex constraints. However, MPC is computationally demanding, and is often impractical to implement on small, resource-constrained robotic platforms. We present TinyMPC, a high-speed MPC solver with a low memory footprint targeting the microcontrollers common on small robots. Our approach is based on the alternating direction method of multipliers (ADMM) and leverages the structure of the MPC problem for efficiency. We demonstrate TinyMPC both by benchmarking against the state-of-the-art solver OSQP, achieving nearly an order of magnitude speed increase, as well as through hardware experiments on a 27 g quadrotor, demonstrating high-speed trajectory tracking and dynamic obstacle avoidance.","tags":["Model Predictive Control","Embedded Systems","Edge Computing","Quadrotor"],"title":"TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers","type":"publication"},{"authors":["Emre Adabag","Miloni Atal","William Gerard","Brian Plancher"],"categories":null,"content":" ","date":1715558404,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1715558404,"objectID":"192149a07f0b50bf7810e1ae46d6fb87","permalink":"https://a2r-lab.github.io/publication/mpcgpu/","publishdate":"2023-09-15T00:00:00Z","relpermalink":"/publication/mpcgpu/","section":"publication","summary":"We introduce MPCGPU, a GPU-accelerated, real-time NMPC solver that leverages an accelerated preconditioned conjugate gradient (PCG) linear system solver at its core. We show that MPCGPU increases the scalability and real-time performance of NMPC, solving larger problems, at faster rates. In particular, for tracking tasks using the Kuka IIWA manipulator, MPCGPU is able to scale to kilohertz control rates with trajectories as long as 512 knot points. This is driven by a custom PCG solver which outperforms state-of-the-art, CPU-based, linear system solvers by at least 10x for a majority of solves and 3.6x on average.","tags":["Model Predictive Control","Parallel Computing","GPU","Linear Systems","Iterative Methods","Trajectory Optimization"],"title":"MPCGPU: Real-Time Nonlinear Model Predictive Control through Preconditioned Conjugate Gradient on the GPU","type":"publication"},{"authors":["Xueyi Bu","Brian Plancher"],"categories":null,"content":" ","date":1715558403,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1715558403,"objectID":"58f6cb7b085a27385dbaaa7d7b904fd6","permalink":"https://a2r-lab.github.io/publication/symstair/","publishdate":"2023-09-12T00:00:00Z","relpermalink":"/publication/symstair/","section":"publication","summary":"In this work we present a new parallel-friendly symmetric stair preconditioner. We prove that our preconditioner has advantageous theoretical properties when used in conjunction with iterative methods for trajectory optimization such as a more clustered eigenvalue spectrum. Numerical experiments with typical trajectory optimization problems reveal that as compared to the best alternative parallel preconditioner from the literature, our symmetric stair preconditioner provides up to a 34% reduction in condition number and up to a 25% reduction in the number of resulting linear system solver iterations.","tags":["Linear Systems","Iterative Methods","Preconditioning","Trajectory Optimization"],"title":"Symmetric Stair Preconditioning of Linear Systems for Parallel Trajectory Optimization","type":"publication"},{"authors":["Lev Grossman","Brian Plancher"],"categories":null,"content":" ","date":1715558402,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1715558402,"objectID":"0f6543ad80c07358e2a3b032c9492ce5","permalink":"https://a2r-lab.github.io/publication/diffcompressdrl/","publishdate":"2023-10-03T00:00:00Z","relpermalink":"/publication/diffcompressdrl/","section":"publication","summary":"Perceptive deep reinforcement learning (DRL) has lead to many recent breakthroughs for complex AI systems leveraging image-based input data. However, training these perceptive DRL-enabled systems remains incredibly memory intensive. In this paper, we begin to address this issue through differentially encoded observation spaces. By reinterpreting stored image-based observations as a video, we leverage lossless differential video encoding schemes to compress the replay buffer without impacting training performance. We evaluate our approach with three state-of-the-art DRL algorithms and find that differential image encoding reduces the memory footprint by as much as 14.2x and 16.7x across tasks from the Atari 2600 benchmark and the DeepMind Control Suite (DMC) respectively. These savings also enable large-scale perceptive DRL that previously required paging between flash and RAM to be run entirely in RAM, improving the latency of DMC tasks by as much as 32%..","tags":["Robot Learning","Machine Learning","Reinforcement Learning","Compressed Learning"],"title":"Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning","type":"publication"},{"authors":["Víctor Mayoral-Vilches","Jason Jabbour","Yu-Shun Hsiao","Zishen Wan","Martiño Crespo-Álvarez","Matthew Stewart","Juan Manuel Reina-Muñoz","Prateek Nagras","Gaurav Vikhe","Mohammad Bakhshalipour","Martin Pinzger","Stefan Rass","Smruti Panigrahi","Giulio Corradi","Niladri Roy","Phillip B. Gibbons","Sabrina M. Neuman","Brian Plancher","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1715558400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1715558400,"objectID":"b9e103d800ed1021842c12866a80b443","permalink":"https://a2r-lab.github.io/publication/robotperf/","publishdate":"2023-09-17T00:00:00Z","relpermalink":"/publication/robotperf/","section":"publication","summary":"We introduce RobotPerf, a vendor-agnostic benchmarking suite designed to evaluate robotics computing performance across a diverse range of hardware platforms using ROS 2 as its common baseline. The suite encompasses ROS 2 packages covering the full robotics pipeline and integrates two distinct benchmarking approaches: black-box testing, which measures performance by eliminating upper layers and replacing them with a test application, and grey-box testing, an application-specific measure that observes internal system states with minimal interference. Our benchmarking framework provides ready-to-use tools and is easily adaptable for the assessment of custom ROS 2 computational graphs. Drawing from the knowledge of leading robot architects and system architecture experts, RobotPerf establishes a standardized approach to robotics benchmarking. As an open-source initiative, RobotPerf remains committed to evolving with community input to advance the future of hardware-accelerated robotics.","tags":["Benchmarking","Hardware Acceleration","Hardware-Software Co-Design","FPGA","GPU","Robotics","ROS2"],"title":"RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance","type":"publication"},{"authors":["Brian Plancher","Sebastian Büttrich","Jeremey Ellis","Neena Goveas","Laila Kazimierski","Jesus Lopez Sotelo","Milan Lukic","Diego Mendez Chaves","Rosdiadee Nordin","Andres Oliva Trevisan","Massimo Pavan","Manuel Roveri","Marcus Rüb","Jackline Tum","Marian Verhelst","Salah Abdeljabar","Segun Adebayo","Thomas Amberg","Halleluyah Aworinde","José Antonio Bagur Nájera","Gregg Barrett","Nabil Benamar","Bharat Chaudhari","Ronald Criollo","David Cuartielles","JoseA lberto Ferreira Filho","Solomon Gizaw","Evgeni Gousev","Alessandro Grande","Shawn Hymel","Peter Ing","Prashant Manandhar","Pietro Manzoni","Boris Murmann","Eric Pan","Rytis Paskauskas","Ermanno Pietrosemoli","Tales Pimenta","Marcelo Rovai","Marco Zennaro","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1711324800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1711324800,"objectID":"92c14006db3361eba96ec167d9fc85a5","permalink":"https://a2r-lab.github.io/publication/scalingtinyml4d/","publishdate":"2024-05-20T00:00:00Z","relpermalink":"/publication/scalingtinyml4d/","section":"publication","summary":"Embedded machine learning (ML) on low-power devices, also known as \"TinyML,\" enables intelligent applications on accessible hardware and fosters collaboration across disciplines to solve real-world problems. Its interdisciplinary and practical nature makes embedded ML education appealing, but barriers remain that limit its accessibility, especially in developing countries. Challenges include limited open-source software, courseware, models, and datasets that can be used with globally accessible heterogeneous hardware. Our vision is that with concerted effort and partnerships between industry and academia, we can overcome such challenges and enable embedded ML education to empower developers and researchers worldwide to build locally relevant AI solutions on low-cost hardware, increasing diversity and sustainability in the field. Towards this aim, we document efforts made by the TinyML4D community to scale embedded ML education globally through open-source curricula and introductory workshops co-created by international educators. We conclude with calls to action to further develop modular and inclusive resources and transform embedded ML into a truly global gateway to embedded AI skills development.","tags":["TinyML","Machine Learning","Embedded Systems","Global Network","Open Curricula"],"title":"TinyML4D: Scaling Embedded Machine Learning Education in the Developing World","type":"publication"},{"authors":["Elizabeth Fields","Chloe Ho","Min Jie Kim","Zixuan (Zoey) Wu","Brian Plancher"],"categories":null,"content":" ","date":1710720000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1710720000,"objectID":"7f608c2e3abdce0cd7f3dd41d55e3d82","permalink":"https://a2r-lab.github.io/publication/underrepresentationwomenram/","publishdate":"2024-03-18T00:00:00Z","relpermalink":"/publication/underrepresentationwomenram/","section":"publication","summary":"Computer science (CS) and engineering research both have large and well documented gender diversity gaps. In fact, previous studies have reported that the overall CS Female Author Ratio (FAR) is only in the range of 16-26% and varies significantly between CS subfields ranging from as high as 42% in CS Education to as low as 8% in Theory and Algorithms. To understand the current state of gender diversity of robotics, we recently collected and analyzed the gender of paper authors from all IEEE RAS fully sponsored conferences (ARSO, CASE, HAPTICS, Humanoids, ICRA, ISAM, MEMS, RoboSoft, SIMPAR, SSRR) as well as IROS and RA-L from 2019-2021. Overall, we find that robotics has a long way to go to reach gender parity, with an overall FAR of only 11-12%. We hope this analysis helps the robotics community to continue to emphasize the importance of working to improve our diversity.","tags":["Robotics","Women","Gender","Research"],"title":"Underrepresentation of Women in Robotics Research","type":"publication"},{"authors":["Marco Zennaro","Brian Plancher","Matthew Stewart","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1707350400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1707350400,"objectID":"538ffec917422f03658f1c01364ccc3d","permalink":"https://a2r-lab.github.io/publication/tinymltheconversation/","publishdate":"2024-02-08T00:00:00Z","relpermalink":"/publication/tinymltheconversation/","section":"publication","summary":"The landscape of artificial intelligence (AI) applications has traditionally been dominated by the use of resource-intensive servers centralised in industrialised nations. However, recent years have witnessed the emergence of small, energy-efficient devices for AI applications, a concept known as tiny machine learning (TinyML). We’re most familiar with consumer-facing applications such as Siri, Alexa, and Google Assistant, but the limited cost and small size of such devices allow them to be deployed in the field. For example, the technology has been used to detect mosquito wingbeats and so help prevent the spread of malaria. It’s also been part of the development of low-power animal collars to support conservation efforts.","tags":["Edge ML","TinyML","Machine Learning","Embedded Systems","Developing World","Conservation"],"title":"AI in the Developing World: How ‘Tiny Machine Learning’ can have a Big Impact","type":"publication"},{"authors":["William Xie","Brian Plancher"],"categories":null,"content":" ","date":1693180800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1693180800,"objectID":"33972d2a7bd39ca96a46ef0ef0e9950d","permalink":"https://a2r-lab.github.io/publication/llmfrccodegen/","publishdate":"2023-08-28T00:00:00Z","relpermalink":"/publication/llmfrccodegen/","section":"publication","summary":"In this study we will investigate whether we can reduce the barriers to entry for high school robotics through the use of code generation models derived from large language models (LLMs). As such, we aim to raise the abstraction barrier for the development of artificial intelligence algorithms needed to program and control the Romi Robot used in the FIRST Robotics Competition (FRC). To do so we develop a web interface that helps automate the prompt-engineer step and allows students to easily incorporate OpenAI Codex into their workflows.","tags":["Machine Learning","Robotics","Large Language Models","FIRST Robotics"],"title":"Can Large Language Models Reduce the Barriers to Entry for High School Robotics?","type":"publication"},{"authors":["Brian Plancher"],"categories":null,"content":" ","date":1689292800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1689292800,"objectID":"975dc132034068ad803bd30019fb35a7","permalink":"https://a2r-lab.github.io/publication/tinyrobotlearningrssaccessibility/","publishdate":"2023-07-14T00:00:00Z","relpermalink":"/publication/tinyrobotlearningrssaccessibility/","section":"publication","summary":"The high barriers to entry associated with robotics, in particular its high cost, has rendered it inaccessibility for many. In this poster we present our early efforts to begin to address these challenges through edge machine learning (ML). We show how ultra-low-cost robot and computational hardware paired with open-source software and courseware can be leveraged for hands-on education globally and the beginnings of a globally diverse research community.","tags":["Robot Learning","Open Education","TinyML","Machine Learning","Embedded Systems","Robotics"],"title":"Tiny Robot Learning: Expanding Access to Edge ML as a Step Toward Accessible Robotics","type":"publication"},{"authors":["Sabrina M. Neuman","Radhika Ghosal","Thomas Bourgeat","Brian Plancher","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1686787200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1686787200,"objectID":"2859e4273d8c2d87f4bd6b24c39552b6","permalink":"https://a2r-lab.github.io/publication/roboshape/","publishdate":"2023-06-15T00:00:00Z","relpermalink":"/publication/roboshape/","section":"publication","summary":"We present RoboShape, an accelerator framework that leverages two topology-based computational patterns that scale with robot size: (1) topology traversals, and (2) large topology-based matrices. Using these patterns and building on prior work, we expose opportunities to directly use robot topology to inform architectural mechanisms including task scheduling and allocation, data placement, block matrix operations, and sparse I/O data. For the topologically-diverse iiwa manipulator, HyQ quadruped, and Baxter torso robots, RoboShape accelerators on an FPGA provide a 4.0x to 4.4x speedup in compute latency over CPU and a 8.0x to 15.1x speedup over GPU for the dynamics gradients, a key bottleneck preventing online execution of nonlinear optimal motion control for legged robots. Taking a broader view, for topology-based applications, RoboShape enables analysis of performance and resource utilization tradeoffs that will be critical to managing resources across accelerators in future full robotics domain-specific SoCs.","tags":["Hardware Acceleration","Hardware-Software Co-Design","FPGA","Robotics"],"title":"RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots","type":"publication"},{"authors":["Lev Grossman","Brian Plancher"],"categories":null,"content":" ","date":1685318400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1685318400,"objectID":"0cbe526726c31c3517bf2577a5b90680","permalink":"https://a2r-lab.github.io/publication/justround/","publishdate":"2022-10-18T00:00:00Z","relpermalink":"/publication/justround/","section":"publication","summary":"Deep reinforcement learning (DRL) is one of the most powerful tools for synthesizing complex robotic behaviors. But training DRL models is incredibly compute and memory intensive, requiring large training datasets and replay buffers to achieve performant results. This poses a challenge for the next generation of field robots that will need to learn on the edge to adapt to their environment. In this paper, we begin to address this issue through observation space quantization. We evaluate our approach using four simulated robot locomotion tasks and two state-of-the-art DRL algorithms, the on-policy Proximal Policy Optimization (PPO) and off-policy Soft Actor-Critic (SAC) and find that observation space quantization reduces overall memory costs by as much as 4.2x without impacting learning performance.","tags":["Robot Learning","Machine Learning","Reinforcement Learning"],"title":"Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion","type":"publication"},{"authors":["Marco Zennaro","Brian Plancher","Vijay Janapa Reddi"],"categories":null,"content":"","date":1683072000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1683072000,"objectID":"8943395088a6336a522d33de5886cd0e","permalink":"https://a2r-lab.github.io/publication/tinymlunsti23/","publishdate":"2023-05-03T00:00:00Z","relpermalink":"/publication/tinymlunsti23/","section":"publication","summary":"The rise of TinyML has opened up new opportunities for the development of smart, low-power devices in resource-constrained environments. A network of 40 universities has been established over the past two years with the goal of promoting the use of TinyML in developing regions. The members of this network have taught courses at their home institutions and have completed their first research projects covering topics ranging from the diagnosis of respiratory diseases in Rwanda to assistive technology development in Brazil, bee population monitoring in Kenya and estimating the lifespan of the date palm fruit in Saudi Arabia. We suggest three policy recommendations to increase the future impact: first, training and research activities in STI should focus on regional networks; second, the ethics of artificial intelligence must be covered in all activities; and third, we need to support local champions better.","tags":["TinyML","Machine Learning","Embedded Systems","Sustainability","UN SDGs","Sustainable Development"],"title":"Bridging the Digital Divide: the Promising Impact of TinyML for Developing Countries","type":"publication"},{"authors":["Pete Warden","Matthew Stewart","Brian Plancher","Sachin Katti","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1677801600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1677801600,"objectID":"4ef12a7f54f0469e8fafc1cbb9521a46","permalink":"https://a2r-lab.github.io/publication/mlsensorscacm/","publishdate":"2023-03-03T00:00:00Z","relpermalink":"/publication/mlsensorscacm/","section":"publication","summary":"In this viewpoint we propose the ML sensor: a logical framework for developing ML-enabled embedded systems which empowers end users through its privacy-by-design approach. By limiting the data interface, the ML sensor paradigm helps ensure that no user information can be extracted beyond the scope of the sensor’s functionality. Our proposed definition is as follows: An ML sensor is a self-contained, embedded system that utilizes machine learning to process sensor data on-device – logically decoupling data computation from the main application processor and limiting the data access of the wider system to high-level ML model outputs.","tags":["ML Sensors","Edge ML","TinyML","Machine Learning","Embedded Systems","Privacy"],"title":"Machine Learning Sensors: A Design Paradigm for the Future of Intelligent Sensors","type":"publication"},{"authors":["Shvetank Prakash","Matthew Stewart","Colby Banbury","Mark Mazumder","Pete Warden","Brian Plancher","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1675209600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675209600,"objectID":"57482bc336416f1d6a7dff99b7445d80","permalink":"https://a2r-lab.github.io/publication/sustainabletinyml/","publishdate":"2023-02-01T00:00:00Z","relpermalink":"/publication/sustainabletinyml/","section":"publication","summary":"The sustained growth of carbon emissions and global waste elicits significant sustainability concerns for our environment's future. The growing Internet of Things (IoT) has the potential to exacerbate this issue. However, an emerging area known as Tiny Machine Learning (TinyML) has the opportunity to help address these environmental challenges through sustainable computing practices. TinyML, the deployment of machine learning (ML) algorithms onto low-cost, low-power microcontroller systems, enables on-device sensor analytics that unlocks numerous always-on ML applications. This article discusses the potential of these TinyML applications to address critical sustainability challenges. Moreover, the footprint of this emerging technology is assessed through a complete life cycle analysis of TinyML systems. From this analysis, TinyML presents opportunities to offset its carbon emissions by enabling applications that reduce the emissions of other sectors. Nevertheless, when globally scaled, the carbon footprint of TinyML systems is not negligible, necessitating that designers factor in environmental impact when formulating new devices. Finally, research directions for enabling further opportunities for TinyML to contribute to a sustainable future are outlined.","tags":["Edge ML","TinyML","Sustainability","Machine Learning","Embedded Systems"],"title":"Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers","type":"publication"},{"authors":["Jeremiah Blanchard","John R. Hott","Vincent Berry","Rebecca Carroll","Bob Edmison","Richard Glassey","Oscar Karnalim","Brian Plancher","Seán Russell"],"categories":null,"content":" ","date":1672272000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1672272000,"objectID":"a4d077988a891bf8630ecba883240930","permalink":"https://a2r-lab.github.io/publication/csedreinventing_full/","publishdate":"2022-12-29T00:00:00Z","relpermalink":"/publication/csedreinventing_full/","section":"publication","summary":"Historically, computing instructors and researchers have developed a wide variety of tools to support teaching and educational research, including exam and code testing suites and data collection solutions. However, these tools often find limited adoption beyond their creators. As a result, it is common for many of the same functionalities to be re-implemented by different instructional groups within the Computing Education community. We hypothesise that this is due in part to discoverability, availability, and adaptability challenges. Further, instructors often face institutional barriers to deployment, which can include hesitance of institutions to rely on community developed solutions that often lack a centralised authority and may be community or individually maintained. To this end, our working group explored what solutions are currently available, what instructors needed, and the reasons behind the above-mentioned phenomenon. To do so, we reviewed existing literature and surveyed the community to identify the tools that have been developed by the community; the solutions that are currently available and in use by instructors; what features are needed moving forward for classroom and research use; what support for extensions is needed to support further Computing Education research; and what institutional challenges instructors and researchers are currently facing or have faced in using community software solutions. Finally, the working group identified factors that limited adoption of solutions. This work proposes ways to integrate and improve the availability, discoverability, and dissemination of existing community projects, as well as ways to manage and overcome institutional challenges.","tags":["STEM Education","CS Education","Open Source"],"title":"Stop Reinventing the Wheel! Promoting Community Software in Computing Education","type":"publication"},{"authors":["Jeremiah Blanchard","John R. Hott","Vincent Berry","Rebecca Carroll","Bob Edmison","Richard Glassey","Oscar Karnalim","Brian Plancher","Seán Russell"],"categories":null,"content":" ","date":1657152000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1657152000,"objectID":"89907d6925649658b198d8b3cd868638","permalink":"https://a2r-lab.github.io/publication/csedreinventing/","publishdate":"2022-07-07T00:00:00Z","relpermalink":"/publication/csedreinventing/","section":"publication","summary":"Historically, computing instructors and researchers have developed a wide variety of tools to support teaching and educational research, including exam and code testing suites and data collection solutions. Many are then community or individually maintained. However, these tools often find limited adoption beyond their creators. As a result, it is common for many of the same functionalities to be re-implemented by different instructional groups within the CS Education community. We hypothesize that this is due in part to accessibility, discoverability, and adaptability challenges, among others. Further, instructors often face institutional barriers to deployment, which can include hesitance of institutions to utilize community developed solutions that often lack a centralized authority. This working group will explore what solutions are currently available, what instructors need, and reasons behind the above-mentioned phenomenon.","tags":["STEM Education","CS Education","Open Source"],"title":"Leveraging Community Software in CS Education to Avoid Reinventing the Wheel","type":"publication"},{"authors":["Víctor Mayoral-Vilches","Sabrina M. Neuman","Brian Plancher","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1656547200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1656547200,"objectID":"deb66595b9a9c2a1381ba68a9eaaf999","permalink":"https://a2r-lab.github.io/publication/robotcore/","publishdate":"2022-05-08T00:00:00Z","relpermalink":"/publication/robotcore/","section":"publication","summary":"We introduce RobotCore, an architecture to integrate hardware acceleration in the widely-used ROS 2 robotics software framework. This architecture is target-agnostic (supports edge, workstation, data center, or cloud targets) and accelerator-agnostic (supports both FPGAs and GPUs). It builds on top of the common ROS 2 build system and tools and is easily portable across different research and commercial solutions through a new firmware layer. We also leverage the Linux Tracing Toolkit next generation (LTTng) for low-overhead real-time tracing and benchmarking. To demonstrate the acceleration enabled by this architecture, we design an intra-FPGA ROS 2 node communication queue to enable faster data flows, and use it in conjunction with FPGA-accelerated nodes to achieve a 24.42% speedup over a CPU.","tags":["Hardware Acceleration","Hardware-Software Co-Design","FPGA","Robotics","ROS2"],"title":"RobotCore: An Open Architecture for Hardware Acceleration in ROS 2","type":"publication"},{"authors":["Jason Jabbour","Sabrina M. Neuman","Mark Mazumder","Colby Banbury","Shvetank Prakash","Brian Plancher","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1656288000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1656288000,"objectID":"72642208b4a5584d23e81f76c8b6a067","permalink":"https://a2r-lab.github.io/publication/bittlesim2real/","publishdate":"2022-06-27T00:00:00Z","relpermalink":"/publication/bittlesim2real/","section":"publication","summary":"As a step toward robust learning pipelines for these constrained robot platforms, we demonstrate how existing state-of-the-art imitation learning pipelines can be modified and augmented to support low-cost, limited hardware. By reducing our model’s observational space, leveraging TinyML to quantize our model, and adjusting the model outputs through post-processing, we are able to learn and deploy successful walking gaits on an 8-DoF, $299 (USD) toy quadruped robot that has reduced actuation and sensor feedback, as well as limited computing resources.","tags":["Sim-to-Real","TinyML","Machine Learning","Embedded Systems","Robotics"],"title":"Closing the Sim-to-Real Gap for Ultra-Low-Cost, Resource-Constrained, Quadruped Robot Platforms","type":"publication"},{"authors":["Sabrina M. Neuman","Brian Plancher","Bardienus Duisterhof","Srivatsan Krishnan","Colby Banbury","Mark Mazumder","Shvetank Prakash","Jason Jabbour","Aleksandra Faust","Guido C.H.E. de Croon","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1655251200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1655251200,"objectID":"8d6dcb72bc13b64facfff5a23c1b08dd","permalink":"https://a2r-lab.github.io/publication/tinyrobotlearning/","publishdate":"2022-05-11T00:00:00Z","relpermalink":"/publication/tinyrobotlearning/","section":"publication","summary":"Tiny robot learning lies at the intersection of embedded systems, robotics, and ML, compounding the challenges of these domains. This paper gives a brief survey of the tiny robot learning space, elaborates on key challenges, and proposes promising opportunities for future work in ML system design.","tags":["TinyML","Machine Learning","Embedded Systems","Robotics","Robot Learning","Reinforcement Learning"],"title":"Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots","type":"publication"},{"authors":["Dhilan Ramaprasad"],"categories":null,"content":" ","date":1653955200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1653955200,"objectID":"e78c397ab487e72d045a742d26d925c0","permalink":"https://a2r-lab.github.io/publication/dhilanthesis/","publishdate":"2022-05-31T00:00:00Z","relpermalink":"/publication/dhilanthesis/","section":"publication","summary":"This work presents a model for a modular course, seated outside the traditional classroom, from which students and faculty can pick-and-choose the material that is relevant to their interests, doing so in a flexible way that is not obstructed by a list of prerequisite units. Guidance for maintaining accessibility, generality, and module independence accompanies a provided content map. This work culminates in a demonstration of a proof-of-concept aligned to the recommendations made along the way.","tags":["Embedded Systems","TinyML"],"title":"Teaching Embedded Systems Programming","type":"publication"},{"authors":["Marco Zennaro","Brian Plancher","Vijay Janapa Reddi"],"categories":null,"content":"","date":1651708800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1651708800,"objectID":"ddc575523de11c188647c5433dfc23db","permalink":"https://a2r-lab.github.io/publication/tinymlunsti22/","publishdate":"2022-05-09T00:00:00Z","relpermalink":"/publication/tinymlunsti22/","section":"publication","summary":"We believe that TinyML has a significant role to play in achieving the SDGs and facilitating scientific research in areas such as environmental monitoring, physics of complex systems and energy management. To broaden access and participation and increase the impact of this new technology, we present an initiative that is creating and supporting a global network of academic institutions working on TinyML in developing countries. We suggest the development of additional open educational resources, South–South academic collaboration and pilot projects of at-scale TinyML solutions aimed at addressing the SDGs.","tags":["TinyML","Machine Learning","Embedded Systems","Sustainability","UN SDGs","Sustainable Development"],"title":"TinyML: Applied AI for Development","type":"publication"},{"authors":["Brian Plancher"],"categories":null,"content":" ","date":1650931200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1650931200,"objectID":"535c6ff49d79b49c652b497313019bd8","permalink":"https://a2r-lab.github.io/publication/dissertation/","publishdate":"2022-06-01T00:00:00Z","relpermalink":"/publication/dissertation/","section":"publication","summary":"This dissertation address the computational challenges of whole-body, nonlinear model predictive control (MPC) by exposing, analyzing, and leveraging the structured sparsity and parallelism patterns found in the underlying numerical optimization and rigid body dynamics algorithms. Through careful algorithmic refactoring and re-design, this work exploits these patterns to enable real-time MPC performance through GPU-acceleration. It also validates the feasibility of this approach in the presence of model discrepancies and communication delays between the robot and GPU by deploying the resulting implementations onto a physical manipulator arm. Overall, this dissertation finds that GPU acceleration can provide nearly order-of-magnitude speedups, and open-sources its implementations to aid the wider robotics community in accelerating both robotics computations and application development timelines.","tags":["Model Predictive Control","GPU","Parallel Computing","Differential Dynamic Programming","Rigid Body Dynamics","Trajectory Optimization"],"title":"GPU Acceleration for Real-time, Whole-body, Nonlinear Model Predictive Control","type":"publication"},{"authors":["Brian Plancher","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1646265600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1646265600,"objectID":"8e309ccaf7475a5b9fad3cb018c42738","permalink":"https://a2r-lab.github.io/publication/tinymledu/","publishdate":"2022-03-03T00:00:00Z","relpermalink":"/publication/tinymledu/","section":"publication","summary":"[TinyMLedu](https://tinymledu.org) is working to build an international coalition of researchers and practitioners advancing TinyML in the developing world, and to develop and share high-quality, open-access educational materials globally.","tags":["TinyML","Machine Learning","Embedded Systems","STEM Education","Global Network"],"title":"TinyMLedu: The Tiny Machine Learning Open Education Initiative","type":"publication"},{"authors":["Brian Plancher","Sabrina M. Neuman","Radhika Ghosal","Scott Kuindersma","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1645660800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1645660800,"objectID":"3c55dcd2f48837331bfb9c9f586a53c8","permalink":"https://a2r-lab.github.io/publication/grid/","publishdate":"2022-02-24T00:00:00Z","relpermalink":"/publication/grid/","section":"publication","summary":"We introduce and release GRiD, an open-source, GPU-accelerated library for computing rigid body dynamics with analytical gradients. GRiD was designed to accelerate nonlinear trajectory optimization through optimized code generation, GRiD provides as much as a 7.2x speedup over a state-of-the-art, multi-threaded CPU implementation and maintains as much as a 2.5x speedup when accounting for I/O overhead.","tags":["Hardware Acceleration","Parallel Computing","GPU","Rigid Body Dynamics"],"title":"GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients","type":"publication"},{"authors":["Vijay Janapa Reddi","Brian Plancher","Susan Kennedy","Laurence Moroney","Pete Warden","Anant Agarwal","Colby Banbury","Massimo Banzi","Matthew Bennett","Benjamin Brown","Sharad Chitlangia","Radhika Ghosal","Sarah Grafman","Rupert Jaeger","Srivatsan Krishnan","Maximilian Lam","Daniel Leiker","Cara Mann","Mark Mazumder","Dominic Pajak","Dhilan Ramaprasad","J. Evan Smith","Matthew Stewart","Dustin Tingley"],"categories":null,"content":"","date":1643241600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1643241600,"objectID":"cbd8ab9c855d719a3f83354eee1d905e","permalink":"https://a2r-lab.github.io/publication/wideningaccesswithtinyml/","publishdate":"2022-01-27T00:00:00Z","relpermalink":"/publication/wideningaccesswithtinyml/","section":"publication","summary":"In this paper, we describe our pedagogical approach to increasing access to applied ML through a four part massive open online course (MOOC) on Tiny Machine Learning (TinyML) produced in collaboration between academia (Harvard University) and industry (Google). We suggest that TinyML, ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML both leverages low-cost and globally accessible hardware, and encourages the development of complete, self-contained applications, from data collection to deployment. We also released the course materials publicly, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies.","tags":["TinyML","Machine Learning","Embedded Systems","MOOC","STEM Education"],"title":"Widening Access to Applied Machine Learning with TinyML","type":"publication"},{"authors":["Behzad Boroujerdian","Radhika Ghosal","Jon Cruz","Brian Plancher","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1627776000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1627776000,"objectID":"5c765eb70f4d4b10143b9d3846a59c6e","permalink":"https://a2r-lab.github.io/publication/roborun/","publishdate":"2021-08-01T00:00:00Z","relpermalink":"/publication/roborun/","section":"publication","summary":"This paper introduces RoboRun, a mobile-robot runtime that dynamically exploits the compute-environment synergy to improve performance and energy. We implement RoboRun in the Robot Operating System (ROS) and evaluate it on autonomous drones. We compare RoboRun against a state-of-the-art static design and show 4.5X and 4X improvements in mission time and energy, respectively, as well as a 36% reduction in CPU utilization.","tags":["Runtimes","Cyber-Physical Systems","MAV","Compute"],"title":"RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity","type":"publication"},{"authors":["Behzad Boroujerdian","Hasan Genc","Srivatsan Krishnan","Pieter Bardienus","Bardienus Duisterhof","Brian Plancher","Kayvan Mansoorshahi","Marcelino Almeida","Aleksandra Faust","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1622505600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1622505600,"objectID":"8108904f0db52843eb32caa62966410a","permalink":"https://a2r-lab.github.io/publication/roleofcompute/","publishdate":"2019-09-26T00:00:00Z","relpermalink":"/publication/roleofcompute/","section":"publication","summary":"By combining MAVBench (our tool-set, which consists of (1) a closed-loop real-time feedback simulator and (2) an end-to-end benchmark suite comprised of state-of-the-art kernels), analytical modeling, and an understanding of various compute impacts, we show up to 2X and 1.8X improvements for mission time and mission energy for two optimization case studies. Our investigations, as well as our optimizations, show that cyber-physical co-design, a methodology with which both the cyber and physical processes/quantities of the robot are developed with consideration of one another, similar to hardware-software co-design, is necessary for arriving at the design of the optimal robot.","tags":["Cyber-Physical Systems","Motion Planning","MAV","Compute"],"title":"The Role of Compute in Autonomous Aerial Vehicles","type":"publication"},{"authors":["Sabrina M. Neuman","Brian Plancher","Thomas Bourgeat","Thierry Tambe","Srini Devadas","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1618185600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1618185600,"objectID":"665055b1b1cb6d8dc27cddda4760b429","permalink":"https://a2r-lab.github.io/publication/robomorphic/","publishdate":"2020-12-31T00:00:00Z","relpermalink":"/publication/robomorphic/","section":"publication","summary":"We introduce robomorphic computing; a methodology to transform robot morphology into a customized hardware accelerator morphology. In this work, we (i) present this design methodology; (ii) use the methodology to generate a parameterized accelerator design for the gradient of rigid body dynamics; (iii) evaluate FPGA and synthesized ASIC implementations; and (iv) describe how the design can be automatically customized for other robot models. Our FPGA accelerator achieves speedups of 8x and 86x over CPU and GPU latency, and maintains an overall speedup of 1.9x to 2.9x deployed in an end-to-end coprocessor system. ASIC synthesis indicates an additional factor of 7.2x.","tags":["Hardware Acceleration","Hardware-Software Co-Design","FPGA","Robotics"],"title":"Robomorphic Computing: A Design Methodology for Domain-Specific Accelerators Parameterized by Robot Morphology","type":"publication"},{"authors":["Brian Plancher","Sabrina M. Neuman","Thomas Bourgeat","Scott Kuindersma","Srini Devadas","Vijay Janapa Reddi"],"categories":null,"content":" ","date":1612742400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1612742400,"objectID":"ef18543dc211f0104cb6093df52c8233","permalink":"https://a2r-lab.github.io/publication/accellrbdgrad/","publishdate":"2021-02-08T00:00:00Z","relpermalink":"/publication/accellrbdgrad/","section":"publication","summary":"In this paper, we detail the designs of three faster than state-of-the-art implementations of the gradient of rigid body dynamics on a CPU, GPU, and FPGA. Our optimized FPGA and GPU implementations provide as much as a 3.0x end-to-end speedup over our optimized CPU implementation by refactoring the algorithm to exploit its computational features, e.g., parallelism at different granularities.","tags":["Hardware Acceleration","Parallel Computing","GPU","FPGA","Rigid Body Dynamics"],"title":"Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA","type":"publication"},{"authors":["Lev Grossman"],"categories":null,"content":" ","date":1590883200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1590883200,"objectID":"de4c95c1ccac90644e372df0b3e8803b","permalink":"https://a2r-lab.github.io/publication/levthesis/","publishdate":"2020-05-31T00:00:00Z","relpermalink":"/publication/levthesis/","section":"publication","summary":"This thesis proposes a novel algorithm, “Reference-Guided, Value-Based MPC,” which combines model predictive control (MPC) and reinforcement learning (RL) to compute feasible trajectories for a robotic arm. The algorithm does this while 1) achieving an almost 50% higher planning success rate than standard MPC, 2) solving in sparse environments considered unsolvable by current state of the art algorithms, and 3) generalizing its solutions to different environment initializations.","tags":["Reinforcement Learning","Model Predictive Control","Robot Learning"],"title":"Reinforcement Learning to Enable Robust Robotic Model Predictive Control","type":"publication"},{"authors":["Brian Plancher","Camelia D. Brumar","Iulian Brumar","Lillian Pentecost","Saketh Rama","David Brooks"],"categories":null,"content":" ","date":1569456000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1569456000,"objectID":"0ba16c3d1ccf44bf6805c023f04546f9","permalink":"https://a2r-lab.github.io/publication/appliedapproxmm/","publishdate":"2019-09-26T00:00:00Z","relpermalink":"/publication/appliedapproxmm/","section":"publication","summary":"We apply approximate matrix multiplication to artificial Neural Networks for image classification and to the robotics problem of Distributed Simultaneous Localization and Mapping increasing the speed of both applications by 15-20% while maintaining a 97% classification accuracy for NNs running on the MNIST dataset and keeping the average robot position error under 1 meter (vs 0.32 meters for the exact solution). However, both applications experience variance in their results.","tags":["Approximation","Neural Networks","SLAM"],"title":"Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM","type":"publication"},{"authors":["Brian Plancher","Scott Kuindersma"],"categories":null,"content":" ","date":1558656000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1558656000,"objectID":"f242a8ea616eef11afe494de2dc73a28","permalink":"https://a2r-lab.github.io/publication/parallelddp_icra/","publishdate":"2019-05-31T00:00:00Z","relpermalink":"/publication/parallelddp_icra/","section":"publication","summary":"In this extended abstract we extend our [previous work](/publication/parallelddp) by using our Parallel DDP implementation for MPC on a physical Kuka arm. We demonstrated the feasibility of this approach in the presence of model discrepancies and communication delays between the robot and GPU and found that higher control rates generally lead to better tracking performance across a range of parallelization options.","tags":["Model Predictive Control","Differential Dynamic Programming","Parallel Computing","GPU"],"title":"Realtime Model Predictive Control using Parallel DDP on a GPU","type":"publication"},{"authors":["Brian Plancher","Scott Kuindersma"],"categories":null,"content":" ","date":1544486400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1544486400,"objectID":"a7639cc25598cdbd831788792ca5c431","permalink":"https://a2r-lab.github.io/publication/parallelddp/","publishdate":"2019-05-31T00:00:00Z","relpermalink":"/publication/parallelddp/","section":"publication","summary":"We analyze the benefits and tradeoffs of higher degrees of parallelization using a multiple-shooting variant of DDP implemented on a GPU. We describe our implementation strategy and present results demonstrating its performance compared to an equivalent multi-threaded CPU implementation using several benchmark control tasks. Our results suggest that GPU-based solvers can offer increased per-iteration computation time and faster convergence in some cases, but in general tradeoffs exist between convergence behavior and degree of algorithm-level parallelism. This work was [extended](/publication/parallelddp_icra) and used for MPC on a physical Kuka arm.","tags":["Model Predictive Control","Differential Dynamic Programming","Parallel Computing","GPU"],"title":"A Performance Analysis of Parallel Differential Dynamic Programming on a GPU","type":"publication"},{"authors":["Brian Plancher"],"categories":null,"content":" ","date":1527724800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1527724800,"objectID":"f8abf36f11c6cc2cd7f64dd2b868eeb3","permalink":"https://a2r-lab.github.io/publication/mastersthesis/","publishdate":"2019-05-31T00:00:00Z","relpermalink":"/publication/mastersthesis/","section":"publication","summary":"This thesis builds on recent work on Unscented Dynamic Programming (UDP)—which eliminates dynamics derivative computations in DDP—to support general nonlinear state and input constraints to high precision using an augmented Lagrangian. It then leverages parallel computations for increased throughput and systematically analyzes the insights, challenges, tradeoffs, and benefits of implementing a parallelized variant of DDP on both a multi-core CPU and a graphics processing unit (GPU).","tags":["Model Predictive Control","Differential Dynamic Programming","Unscented Transform","Augmented Lagrangian","Parallel Computing","GPU"],"title":"Parallel and Constrained Differential Dynamic Programming for Model Predictive Control","type":"publication"},{"authors":["Brian Plancher","Zachary Manchester","Scott Kuindersma"],"categories":null,"content":" ","date":1506556800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1506556800,"objectID":"f9b0d6c430b6f0897a6921b6ef0c7496","permalink":"https://a2r-lab.github.io/publication/cudp/","publishdate":"2019-05-31T00:00:00Z","relpermalink":"/publication/cudp/","section":"publication","summary":"We build on recent work on Unscented Dynamic Programming (UDP) - which eliminates dynamics derivative computations in DDP - to support general nonlinear state and input constraints using an augmented Lagrangian. The resulting algorithm has the same computational cost as first-order penalty-based DDP variants, but can achieve constraint satisfaction to high precision without the numerical ill-conditioning associated with penalty methods.","tags":["Differential Dynamic Programming","Unscented Transform","Augmented Lagrangian"],"title":"Constrained Unscented Dynamic Programming","type":"publication"},{"authors":["Sertac Karaman","Ariel Anders","Michael Boulet","Jane Connor","Kenneth Gregson","Winter Guerra","Owen Guldner","Mubarik Mohamoud","Brian Plancher","Robert Shin","John Vivilecchia"],"categories":null,"content":" ","date":1490659200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1490659200,"objectID":"ed6ea91614699a85a76eaab0ae13cf50","permalink":"https://a2r-lab.github.io/publication/racecarteaching/","publishdate":"2019-05-31T00:00:00Z","relpermalink":"/publication/racecarteaching/","section":"publication","summary":"We describe the pedagogy behind the MIT Beaver Works Summer Institute Robotics Program, a new high-school STEM program in robotics. The program utilizes state-of-the-art sensors and embedded computers for mobile robotics. The program was offered as a four-week residential program at MIT in the summer of 2016.","tags":["STEM Education"],"title":"Project-based, collaborative, algorithmic robotics for high school students: Programming self-driving race cars at MIT","type":"publication"},{"authors":null,"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"c1d17ff2b20dca0ad6653a3161942b64","permalink":"https://a2r-lab.github.io/people/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/people/","section":"","summary":"","tags":null,"title":"","type":"widget_page"},{"authors":null,"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"c59aac1367355b27bcb176ba939fc333","permalink":"https://a2r-lab.github.io/projects/robotlearning/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/projects/robotlearning/","section":"projects","summary":"Machine learning-based robotics applications are increasing in prevalence and importance. Whether structured as foundation-models, pixels-to-actions policies, or as learned hyperparameters or models for classical approaches, these algorithms will need to run on the edge to support the next generation of field robots. We are therefore working to reduce the challenging memory requirements and long runtimes of such algorithms, enabling their use at the edge.","tags":null,"title":"Accelerated and Memory Efficient Edge Reinforcement Learning","type":"projects"},{"authors":null,"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"ffc89fe189e24329f99ed7fef67a92af","permalink":"https://a2r-lab.github.io/projects/middlewarebenchmarking/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/projects/middlewarebenchmarking/","section":"projects","summary":"End-to-end robotics applications can only take advantage of accelerated algorithms, like those developed in many of our other lines of research, if they can be run on, and tested through, accelerated middleware and benchmarking frameworks. As such, in this research thrust, we are working to develop such comprehensive benchmarking frameworks, middleware interconnects, and runtime systems with adaptive parameter tuning. Importantly, all of these solutions are being designed for widespread use across robotics (e.g., with native integrations for ROS and ROS2).","tags":null,"title":"Accelerated Middleware and Benchmarking for Robotics","type":"projects"},{"authors":null,"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"5671d9d9ca71a763d0fe0ea788ec765a","permalink":"https://a2r-lab.github.io/projects/accelerators/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/projects/accelerators/","section":"projects","summary":"*Computer architects have shown that moving beyond the CPU and GPU, to custom computational hardware, can further accelerate computations while lowering energy consumption. How can we apply these techniques in robotics?* This project seeks to answer that question through the design of automated workflows that can directly encode into computational hardware the structured sparsity and parallelism patterns found in embodied robotics algorithms. These resulting co-designed FPGAs and custom ASICs can then be flexibly leveraged for downstream robotics applications.","tags":null,"title":"Computational Hardware Accelerators for Robotics","type":"projects"},{"authors":null,"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"fa04b9a804784dca937a05ca1c8b8b47","permalink":"https://a2r-lab.github.io/projects/gpuoptimization/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/projects/gpuoptimization/","section":"projects","summary":"*How can we overcome the high computational complexity of optimization, control, and planning algorithms, while still reasoning about the complex dynamics and environments required for field robots?* This project seeks to answer that question by co-designing new theoretically sound algorithms that are optimized to take advantage of the large-scale parallelism available on GPUs. Through support from the [NSF](https://www.nsf.gov/) [[1]](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2246022\u0026HistoricalAwards=false), [[2]](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2411369\u0026HistoricalAwards=false) and [Toyota Research Institute](https://www.tri.global/) this project seeks to go beyond developing point solutions to releasing broadly applicable toolboxes for the robotics and optimization communities.","tags":null,"title":"GPU-Accelerated Optimization, Optimal Control, and Planning","type":"projects"},{"authors":null,"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"08eb3b418b2008d376dc0e75a03ed8c8","permalink":"https://a2r-lab.github.io/projects/tinyrobots/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/projects/tinyrobots/","section":"projects","summary":"Small, low-cost, globally-accessible robots face stringent power, memory, and compute limitations, historically preventing the use of sophisticated algorithms. When compressing robotics algorithms to fit on the embedded systems running on these robots (e.g., MCUs), new challenges and opportunities emerge. We are working to unlock the full potential of these tiny robots by leveraging insights from robotics, machine learning, and computer architecture / embedded systems to custom tailor algorithmic solutions through co-design.","tags":null,"title":"Next Generation Intelligence for Tiny Robots","type":"projects"},{"authors":null,"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"89caa6f3dde3003f62c11c7b08b01799","permalink":"https://a2r-lab.github.io/projects/responsibleaccessible/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/projects/responsibleaccessible/","section":"projects","summary":"We work to promote a responsible, sustainable, and accessible future for robotics and edge computing, including the development of new interdisciplinary, project-based, open-access courses that lower the barriers to entry for cutting-edge topics like robotics, parallel programming, and embedded machine learning.","tags":null,"title":"Responsible and Accessible Robotics and Computing","type":"projects"}]