Heterogeneous Multi-Robot Cooperation With Asynchronous Multi-Agent Reinforcement Learning

Multi-robot systems (MRSs) are becoming increasingly important in various domains. However, effective communication and coordination among multiple robots remain significant challenges. In this letter, we introduce a novel architecture for multi-robot decision-making and control based on multi-agent...

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Bibliographic Details
Published in:	IEEE robotics and automation letters Vol. 9; no. 1; pp. 159 - 166
Main Authors:	Zhang, Han, Zhang, Xiaohui, Feng, Zhao, Xiao, Xiaohui
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms asynchronous execution Collision avoidance Cooperation Decision making Heterogeneous networks heterogeneous robots Multi-robot systems Multiagent systems Multiple robots Q-learning Reinforcement learning Robot control Robot kinematics Robots System effectiveness Task analysis Training
ISSN:	2377-3766, 2377-3766
Online Access:	Get full text
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