Particle Swarm Optimization for Cooperative Multi-Robot Task Allocation: A Multi-Objective Approach

This letter presents a new Multi-Objective Particle Swarm Optimization (MOPSO) approach to a Cooperative MultiRobot Task Allocation (CMRTA) problem, where the robots have to minimize the total team cost and, additionally, balance their workloads. We formulate the CMRTA problem as a more complex vari...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 5; H. 2; S. 2529 - 2536
Hauptverfasser:	Wei, Changyun, Ji, Ze, Cai, Boliang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms cooperating robots Multi-robot systems Multiple objective analysis Multiple robots Optimization optimization and optimal control Particle swarm optimization Robots
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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