通过异构多机器人系统中的协作提高复原力

Alexander A. Nguyen;Faryar Jabbari;Magnus Egerstedt
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摘要

本文探讨了异构多机器人系统中的成对协作。我们特别关注具有不同功能和动态特性的单个机器人如何通过形成协作安排来增强其复原力,从而产生新的能力。我们利用控制障碍函数作为一种机制,对单个机器人的安全操作区域进行编码,其目的是让机器人能够通过与其他机器人合作,在其无法单独穿越的新区域内进行操作。我们探讨了三个问题的答案:"机器人为什么要协作?"、"机器人何时协作?"以及 "机器人如何协作?"为此,我们引入了安全可达集--在考虑初始状态和动态的情况下,捕捉单个机器人在有或没有帮助的情况下能够安全到达的区域。然后,我们描述了提供帮助的机器人和接受帮助的机器人进行协作的条件。接下来,我们描述了通过混合自动机建模的配对协作框架,以展示如何在异构多机器人团队中构建协作。最后,我们介绍了在移动机器人团队中进行的案例研究。
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Resiliency Through Collaboration in Heterogeneous Multi-Robot Systems
This paper examines pairwise collaborations in heterogeneous multi-robot systems. In particular, we focus on how individual robots, with different functionalities and dynamics, can enhance their resilience by forming collaborative arrangements that result in new capabilities. Control barrier functions are utilized as a mechanism to encode the safe operating regions of individual robots, with the idea being that a robot may be able to operate in new regions that it could not traverse alone by working with other robots. We explore answers to three questions: “Why should robots collaborate?”, “When should robots collaborate?”, and “How can robots collaborate?” To that end, we introduce the safely reachable set – capturing the regions that individual robots can reach safely, either with or without help, while considering their initial states and dynamics. We then describe the conditions under which a help-providing robot and a help-receiving robot can engage in collaboration. Next, we describe the pairwise collaboration framework, modeled through hybrid automata, to show how collaborations can be structured within a heterogeneous multi-robot team. Finally, we present case studies that are conducted on a team of mobile robots.
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