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A Systematic Literature Review on Multi-Robot Task Allocation
ACM Computing Surveys ( IF 23.8 ) Pub Date : 2024-10-14 , DOI: 10.1145/3700591
Athira K A, Divya Udayan J, Umashankar Subramaniam

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 5 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.

中文翻译:


多机器人任务分配的系统文献综述



Muti-Robot 系统越来越受到关注,是机器人技术的关键研究领域之一。正在研究多个机器人之间的协调以及如何将不同的任务分配给不同的系统代理。本系统文献综述 (SLR) 的目的是提供关于多机器人任务分配 (MRTA) 问题的最新进展的见解,强调有前途的任务分配方法。在这项研究中,我们从 5 个不同的 MRTA 数据库中收集了科学论文。我们概述了任务分配算法的不同方法,根据方法对它们进行分类,并强调了最近的进展。此外,我们还讨论了不确定性在任务分配中的作用以及任务分配中采用的典型协调技术,以确定文献中的差距并提出最有希望的差距。
更新日期:2024-10-14
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