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A basic algorithm and data structures for sensor-based path planning in unknown environments

机译:在未知环境中基于传感器的路径规划的基本算法和数据结构

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Deals with the sensor-based path planning problem. In particular, we present the case for manipulator arms. We assume that the knowledge of workspace is partially known and that it can be increased by using a laser-like sensor. We propose a representation of the workspace that is well adapted to exploit the information obtained from the sensors and then compute collision detection. A sensor-based version of the Ariadne's Clew Algorithm is used to incrementally search for the free space and compute a path to a goal configuration.
机译:处理基于传感器的路径规划问题。特别是,我们介绍了操纵器臂的情况。我们假设工作空间的知识部分已知并且可以通过使用激光样传感器来增加它。我们提出了适合利用传感器获得的信息的工作空间的表示,然后计算碰撞检测。基于传感器的ARIADNE的CLEW算法版本用于逐步搜索自由空间并计算目标配置的路径。

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