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Multirobot Field of View Control With Adaptive Decentralization

Matteo Santilli, Pratik Mukherjee, Ryan K. Williams, Andrea Gasparri

发表年份
2022
引用次数
21

摘要

In this article, we address the problem of coordinating the motion of a team of robots with limited field of view (FOV), which induces <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">asymmetry</i> in their interactions. In this context, we first propose a general coordinated motion framework for multirobot systems with triangular FOV capable of guaranteeing stability under asymmetric (directed) interactions. In deriving this framework, we illustrate that asymmetry in multirobot interactions can lead to degenerate configurations for which a fully decentralized controller may be insufficient to achieve coordination. Thus, we introduce a switching control mechanism that achieves <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">adaptive decentralization</i> , enabling collaborative behaviors that seek support of a centralized planner for situations that are inherently unstable (degenerate). To demonstrate the generality of our framework we provide a case study involving varying team objectives, such as topology control, that the robots can achieve with limited FOV, while remaining stable. Experimental and numerical validations based on the previously discussed case study are provided to corroborate the theoretical findings

关键词

GeneralityComputer scienceContext (archaeology)RobotController (irrigation)PlannerField (mathematics)Artificial intelligenceTopology (electrical circuits)Distributed computing

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