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Transporting planning of multiple objects by robot groups (4rd. rep: motion planning by robot groups in unknown environment)

机译:通过机器人组运输多个对象的规划(4RD。rep:通过未知环境中的机器人组的运动规划)

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This paper proposes a method to plan a path for iterative transportation of many objects in unknown environment by a group of robots that use proximity sensors. To achieve the learning of path, learned visibility graph is used. To avoid collisions between robots we proposed two methods: weighting links in the using graph and delivering task and path each other on the link. Effectiveness of the method is shown by experiment.
机译:本文提出了一种方法来规划一条使用邻近传感器的机器人的机器人迭代许多物体的迭代运输的路径。为了实现路径的学习,使用了学习的可见性图。为避免机器人之间的碰撞,我们提出了两种方法:在使用图中的加权链路和在链接上互相传递任务和路径。通过实验显示该方法的有效性。

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