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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Vydáno v:	IEEE robotics and automation letters Ročník 9; číslo 1; s. 159 - 166
Hlavní autoři:	Zhang, Han, Zhang, Xiaohui, Feng, Zhao, Xiao, Xiaohui
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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