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Coordinated Multi-Robot Exploration under Connectivity Constraints

机译:连通性约束下的多机器人协同探索

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This paper addresses the exploration problem for a multi-robot system subject to constraints imposed by the communication network. Our goal is to develop a decentralized approach that leads each robot towards the frontier while keeping connectivity with the neighbors. A frontier is a part of the environment, which divides explored from unexplored space. We make use of a graph theory for characterizing the communication, which employs the adjacency and Laplacian matrices of the graph and their spectral properties. The Fiedler value of the Laplacian matrix describes the communication interactions of all the robots in the system. The proposed approach has been implemented and evaluated in several simulated environments and with varying team sizes. The results demonstrate that our decentralized approach can efficiently spread the robots in the environment. As a result, the robots are able to quickly accomplish their exploration mission despite the constraints introduced by the limited connectivity.
机译:本文针对多机器人系统在通信网络强加约束下的探索问题进行了研究。我们的目标是开发一种分散化的方法,使每个机器人在保持与邻居之间的连通性的同时,向前沿发展。边界是环境的一部分,它将探索空间与未开发空间分隔开来。我们利用图论来表征通信,它利用了图的邻接和拉普拉斯矩阵及其频谱特性。拉普拉斯矩阵的Fiedler值描述了系统中所有机器人的通信交互。所提出的方法已在几种模拟环境中以不同的团队规模实施和评估。结果表明,我们的分散方法可以在环境中有效传播机器人。因此,尽管连接受限,但机器人仍能够快速完成其探索任务。

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