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

Internet

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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