| title | GairLab |
|---|---|
| subtitle | Empowering Robotic Intelligence in Vast and Persistent Realms |
| layout | page |
| show_sidebar | false |
| hide_footer | false |
| hero_height | is-large |
| hero_image | /img/web.gif |
| hero_link | /team/team/ |
| hero_link_text | Current Members |
| hero_link2 | /publications/pubs/ |
| hero_link_text2 | Publications |
The mission of GairLab is to integrate cutting-edge Localization, Mapping, and Exporation methodologies to provide a collective intelligence framework for multi-agent systems operating on a large scale and over extended periods.
We also founded MetaSLAM, a joint organization to leverage the top researchers within Field Robotics domain, and extending the current boundaries for real-world robotic applications. We are combined with the top-researchers around the world.
MetaSLAM provides the following core approaches:
- Multi-sensor Fusion based Localization and Navigation
- City-scale Map Merging
- Large-scale indoor Navigation
- Multi-agent Cooperation and Exploration
- Lifelong Perception and Navigation
Based on the above abilities, we hope MetaSLAM can benefit for more researchers in different kinds of filed robotic areas.
-
2023-08-01 We are hosting a competition at IROS 2023 workshop Closing the Loop on Localization with Prof. Sebastian Scherer, which aims at the application of place recognition in mapping merging systems or C-SLAM systems.
-
2023-07-31 Our paper "BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition" is accepted by IEEE Transactions on Robotics.
-
2023-06-22 Our paper "AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments" is accepted by IEEE Transactions on Robotics.