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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

About Us

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.

Our Abilities

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.

News

  • 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.