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Rendezvous of mobile robots in unknown environment via graph optimization approach

机译:图优化方法在未知环境中移动机器人的集合

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In this paper is considered the problem of finding paths for the motion of two autonomous mobile robots starting from given points of an arbitrary shaped but bounded two dimensional domain in presence of unknown obstacles. The objective of any of the two cooperating robots is that of follow a path that leads it to meet the other as soon as possible. No a priori information is known in advance about the geometry of the workspace nor about the number, extension and location of obstacles. Robots have sensing devices that detect obstacles or pieces of walls lying beyond a fixed view range. The problem is embedded in a graph optimization framework and a new algorithm is proposed, characterized by little computer power requirements. The optimization approach used is highly decentralized; the two robots can perform computation and navigation in parallel fashion and communicate only by partial map updating. Theoretical and practical aspects of the algorithm are investigated.
机译:本文考虑的问题是,在存在未知障碍物的情况下,从任意形状但有界的二维域的给定点开始,寻找两个自主移动机器人的运动路径。两个协作机器人中任何一个的目标都是遵循一条路径,使其尽快与其他机器人相遇。事先没有关于工作空间的几何形状或障碍物的数量,延伸和位置的先验信息。机器人具有感应装置,可检测超出固定视野范围的障碍物或墙壁碎片。该问题被嵌入到图优化框架中,并提出了一种新的算法,其特征在于对计算机的需求很小。所使用的优化方法高度分散。这两个机器人可以并行执行计算和导航,并且只能通过部分地图更新进行通信。研究了该算法的理论和实践方面。

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