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Motion planning of multiple mobile robots by a combination of learned visibility graphs and virtual impedance

机译:结合学习的可见度图和虚拟阻抗,对多个移动机器人进行运动计划

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摘要

A motion planning algorithm for multiple mobile robots is proposed in this paper. A hierarchical architecture with two layers 'learned visibility graph layer (upper layer)' and 'virtual impedance layer (lower layer)' (one of the potential field planning method) is presented. This system has the following characteristics: (1) is applicable to .unknown dynamic environments, (2) is applicable to distributed multiple robot systems and (3) is capable of adequate path generation and motion. At the upper layer, efficient exploration of environments makes it possible to generate sub-shortest paths that avoid static obstacles. At the lower layer, on-line avoidance can be made with virtual impedance against moving obstacles such as other robots. Simulation results show the validity of the proposed method.
机译:提出了一种多移动机器人的运动规划算法。提出了具有两层“学习的可见性图层(上层)”和“虚拟阻抗层(下层)”(一种潜在的现场规划方法)的分层体系结构。该系统具有以下特征:(1)适用于未知的动态环境;(2)适用于分布式多个机器人系统;(3)能够产生足够的路径和运动。在上层,对环境的有效探索可以生成避免静态障碍的最短路径。在下层,可以通过虚拟阻抗来避免其他移动机器人等移动障碍物的在线避开。仿真结果表明了该方法的有效性。

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