基于临时目标配置的多机器人集中解耦路径规划算法

Jun-Han Oh, Joonyoung Park, Jong-Tae Lim
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引用次数: 6

摘要

研究了具有独立起始构型和目标构型的多机器人的无碰撞路径求解问题。通过解耦方法,我们尝试在解存在的情况下找到无碰撞的路径。该算法分为两个阶段。在第一阶段,忽略其他机器人的存在,从路径规划器中获得单个机器人的路径。为了避免相互碰撞,我们临时指定改变目标构型的机器人作为障碍物,或者临时指定试图移动的机器人的改变起始构型。结果表明,该算法可以解决各种场景下的路径规划问题。Keywords-path规划;多个机器人;集中解耦算法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Centralized Decoupled Path Planning Algorithm for Multiple Robots Using the Temporary Goal Configurations
This paper presents a problem of finding collisionfree paths for multiple robots with individual start configurations and goal configurations. With the decoupled method, we try to find the collision-free paths if the solutions exist. The proposed algorithm consists of two phases. In the first phase, the path is obtained from the path planner for a single robot ignoring the existence of the other robots. To avoid mutual collisions, we assign temporarily either changed goal configurations to the robots which can be regarded as the obstacles or changed start configuration of the robot trying to move. We show that the proposed algorithm solves path planning problem in various scenarios. Keywords-path planning; multiple robot; centralized decoupled algorithm
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