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Non-Communication Decentralized Multi-Robot Collision Avoidance in Grid Map Workspace with Double Deep Q-Network

This paper presents a novel decentralized multi-robot collision avoidance method with deep reinforcement learning, which is not only suitable for the large-scale grid map workspace multi-robot system, but also directly processes Lidar signals instead of communicating between the robots. According to...

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Detalles Bibliográficos
Autores principales:	Chen, Lin, Zhao, Yongting, Zhao, Huanjun, Zheng, Bin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866139/ https://www.ncbi.nlm.nih.gov/pubmed/33513856 http://dx.doi.org/10.3390/s21030841

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