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A path-space search algorithm for motion planning with uncertainties

机译:具有不确定性的运动规划的路径空间搜索算法

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This paper describes an algorithm for adjusting a robot motion plan in order to make it feasible in spite of control and sensing uncertainties in the robot configuration. The type of motion plan considered consists of a nominal commanded path, augmented by sensing mode specifications. The algorithm uses a bounding-set representation of uncertainties, which is also described. The control uncertainty is history independent, but the sensing uncertainty at one point in a plan depends on the prior sensing actions and the path traversed. The algorithm is a path-space algorithm, because it adjusts the entire plan simultaneously as it carries out the search.
机译:本文介绍了一种用于调整机器人运动计划的算法,以便尽管控制和感测机器人配置中的不确定性,但是尽可能可行。考虑的运动计划类型由标称命令路径组成,通过传感模式规范增强。该算法使用了不确定性的边界集表示,其也被描述。控制不确定性是历史无关,但计划中的一个点的感测不确定性取决于先前的传感动作和遍历的路径。该算法是路径空间算法,因为它同时调整整个计划,因为它正在执行搜索。

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