Path planning in polygonal domains for robots with limited turning abilities

Mohammad Reza Ranjbar Divkoti, Mostafa Nouri-Baygi
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引用次数: 3

Abstract

Path planning among polygonal obstacles is a well-known problem in robotics. In this paper, we consider the problem of planning a collision-free path for a robot in a polygonal domain from a given source point to a given target point. The robot has two basic limitations: an upper bound on the angle of rotation and a lower bound on the distance between two consecutive turns. We describe an algorithm that runs in O(n4) time and finds a path in accordance with the above limitations. As shown by experiments, the output of the algorithm is much close to the shortest path with the requirements. We further demonstrate how to decompose the algorithm into two phases, preprocessing time and query time. In this way, given a fixed start point and a set of obstacles, we can preprocess a data-structure of size O(n4) in O(n4) time, such that for any query target point we can find the above-mentioned path in O(n2) time.
有限转向能力机器人多边形域路径规划
多边形障碍物间的路径规划是机器人技术中一个众所周知的问题。在本文中,我们考虑了机器人在多边形域中从给定源点到给定目标点的无碰撞路径规划问题。机器人有两个基本的限制:旋转角度的上限和两个连续转弯之间的距离的下限。我们描述了一个在O(n4)时间内运行并根据上述限制找到路径的算法。实验表明,该算法的输出非常接近满足要求的最短路径。我们进一步演示了如何将算法分解为预处理时间和查询时间两个阶段。这样,给定一个固定的起始点和一组障碍物,我们可以在O(n4)时间内预处理一个大小为O(n4)的数据结构,使得对于任意一个查询目标点,我们都可以在O(n2)时间内找到上述路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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