A Critical Review of Communications in Multi-robot Systems.

Current robotics reports Pub Date : 2022-01-01 Epub Date: 2022-08-22 DOI:10.1007/s43154-022-00090-9
Jennifer Gielis, Ajay Shankar, Amanda Prorok
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引用次数: 14

Abstract

Purpose of review: This review summarizes the broad roles that communication formats and technologies have played in enabling multi-robot systems. We approach this field from two perspectives: of robotic applications that need communication capabilities in order to accomplish tasks, and of networking technologies that have enabled newer and more advanced multi-robot systems.

Recent findings: Through this review, we identify a dearth of work that holistically tackles the problem of co-design and co-optimization of robots and the networks they employ. We also highlight the role that data-driven and machine learning approaches play in evolving communication pipelines for multi-robot systems. In particular, we refer to recent work that diverges from hand-designed communication patterns, and also discuss the "sim-to-real" gap in this context.

Summary: We present a critical view of the way robotic algorithms and their networking systems have evolved, and make the case for a more synergistic approach. Finally, we also identify four broad Open Problems for research and development, while offering a data-driven perspective for solving some of them.

Abstract Image

Abstract Image

多机器人系统通信技术综述。
综述目的:本综述总结了通信格式和技术在实现多机器人系统中所起的广泛作用。我们从两个角度来研究这个领域:需要通信能力来完成任务的机器人应用,以及使更新和更先进的多机器人系统成为可能的网络技术。最近的发现:通过这篇综述,我们发现缺乏全面解决机器人及其使用的网络的协同设计和协同优化问题的工作。我们还强调了数据驱动和机器学习方法在多机器人系统不断发展的通信管道中所起的作用。特别地,我们参考了最近与手工设计的通信模式不同的工作,并讨论了在这种情况下“模拟到真实”的差距。摘要:我们提出了机器人算法及其网络系统进化方式的批判性观点,并提出了一种更具协同性的方法。最后,我们还确定了研究和开发的四个广泛开放问题,同时为解决其中一些问题提供了数据驱动的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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