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Bipartite graph matching-based coordination mechanism for multi-robot path planning under communication constraints

机译:通信约束下基于二部图匹配的多机器人路径规划协调机制

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We propose a coordination mechanism to avoid inter-robot collisions when the robots' paths overlap with each other. Our proposed coordination technique uses a weighted bipartite matching-based formulation to solve this problem. Initially, each robot is given a unique goal location. But the robots do not know about other robots' planned paths until they come within each other's communication ranges. When two or more robots get within an unsafe distance, they coordinate their paths to avoid collisions with each other. The objective of the coordination mechanism is to plan a modified path for each coordinating robot (if needed) so that all the robots can reach their goal locations without collision with each other and also while reducing the extra distance introduced while resolving path conflicts. We have proved the correctness and convergence of our coordination strategy. Our experimental results show that the robots using our proposed strategy travel up to 4.2 times less than a comparable heuristic approach.
机译:我们提出了一种协调机制,当机器人的路径相互重叠时,可以避免机器人之间的碰撞。我们提出的协调技术使用基于加权二分匹配的公式来解决此问题。最初,每个机器人都被赋予唯一的目标位置。但是,直到它们进入彼此的通信范围之内,这些机器人才知道其他机器人的计划路径。当两个或多个机器人进入不安全的距离时,它们会协调其路径,以避免彼此碰撞。协调机制的目的是为每个协调机器人(如果需要)规划一条修改的路径,以使所有机器人都可以到达目标位置而不会彼此碰撞,并且在解决路径冲突的同时减少引入的额外距离。我们已经证明了我们协调战略的正确性和收敛性。我们的实验结果表明,使用我们提出的策略的机器人的行程比同类启发式方法的行程缩短了4.2倍。

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