A Systematic Literature Review on Multi-Robot Task Allocation

Muti-Robot system is gaining attention and is one of the critical areas of research when it comes to robotics. Coordination among multiple robots and how different tasks are allocated to different system agents are being studied. The objective of this Systematic Literature Review (SLR) is to provide...

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Veröffentlicht in:ACM computing surveys 2025-03, Vol.57 (3), p.1-28, Article 68
Hauptverfasser: K A, Athira, J, Divya Udayan, Subramaniam, Umashankar
Format: Artikel
Sprache:eng
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Zusammenfassung:Muti-Robot system is gaining attention and is one of the critical areas of research when it comes to robotics. Coordination among multiple robots and how different tasks are allocated to different system agents are being studied. The objective of this Systematic Literature Review (SLR) is to provide insights on the recent advancement in Multi-Robot Task Allocation (MRTA) problems emphasizing promising approaches for task allocation. In this study, we collected scientific papers from five different databases for MRTA. We outline the different approaches for task allocation algorithms, classifying them according to the methods, and emphasizing recent advances. In addition, we discuss the function of uncertainty in task allocation and typical coordination techniques utilized in task allocation to identify gaps in the literature and suggest the most promising ones.
ISSN:0360-0300
1557-7341
DOI:10.1145/3700591