Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation
Author:
Affiliation:
1. Institute of Cyber-Systems and Control, Zhejiang University,State Key Laboratory of Industrial Control Technology,Hangzhou,China
2. Driving Lab, Alibaba DAMO Academy,Department of Autonomous,Hangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9811522/9811357/09811950.pdf?arnumber=9811950
Reference24 articles.
1. Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Reinforcement Learning
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3. Mamps: Safe multi-agent reinforcement learning via model predictive shielding;zhang;ArXiv Preprint,2019
4. Where to go Next: Learning a Subgoal Recommendation Policy for Navigation in Dynamic Environments
5. Safety Barrier Certificates for Collisions-Free Multirobot Systems
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4. A Data-Driven Model for Predicting Fault-Tolerant Safe Navigation in Multi-Robot Systems;Advances in Computational Intelligence and Robotics;2024-05-03
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