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Main Features
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Developments
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Dynamic Multi-Robot Coverage
Sensor-based Multi-Robot Coverage Control with Spatial Separation in Unstructured Environments
Multi-Robot Coverage using a Graph Neural Network
Multi-robot cooperative learning for optimal field coverage
[ICRA 2026] Multi-Robot Informative Sampling and Coverage in GPS-Denied Environments
CQLite: Communication-Efficient Multi-Robot Exploration Using Coverage-biased Distributed Q-Learning
Muti-robot coverage
Adapting to Performance Variations in Multi-Robot Coverage
[RAL 2025] 3D Spatial Co-operation and Exploration Framework for Multi-Robot Systems
Adapting to Performance Variations in Multi-Robot Coverage
WAFR 2020: Approximation Algorithm for Multi-Robot Coverage
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Last Updated: August 18, 2026
Final Thoughts
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Disclaimer: Disclaimer: All information is compiled from publicly available data, media reports, and analysis. Actual details may vary.
![[ICRA 2026] Multi-Robot Informative Sampling and Coverage in GPS-Denied Environments](https://i.ytimg.com/vi/7Mf3KpfDYAc/mqdefault.jpg)
![[RAL 2025] 3D Spatial Co-operation and Exploration Framework for Multi-Robot Systems](https://i.ytimg.com/vi/n5lwm7uo2J0/mqdefault.jpg)
![Details An Efficient NSGA-II-based Algorithm for Multi-Robot Coverage Path Planning [ICRA 2025] Update](https://i.ytimg.com/vi/5JHAO7yrw0s/mqdefault.jpg)
