Distributed Non-Communicating Multi-Robot Collision Avoidance via Map-Based Deep Reinforcement Learning

It is challenging to avoid obstacles safely and efficiently for multiple robots of different shapes in distributed and communication-free scenarios, where robots do not communicate with each other and only sense other robots’ positions and obstacles around them. Most existing multi-robot collision a...

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Auteurs principaux:	Guangda Chen, Shunyi Yao, Jun Ma, Lifan Pan, Yu’an Chen, Pei Xu, Jianmin Ji, Xiaoping Chen
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2020-08-01
Collection:	Sensors
Sujets:	multi-robot navigation distributed collision avoidance deep reinforcement learning
Accès en ligne:	https://www.mdpi.com/1424-8220/20/17/4836
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