具有矩形障碍物的矩形元胞环境的离线探索

Fatemeh Keshavarz-Kohjerdi
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引用次数: 3

摘要

在本文中,我们考虑使用移动机器人探索一个已知的矩形细胞环境,该环境具有矩形障碍物。机器人必须访问每个单元并返回其起始单元。目标是找到访问所有单元的最短路径。我们给出了一种线性时间算法来寻找最优长度的探索旅程。对于障碍物环境,以往的算法都是近似的,而本文提出的算法是最优的。该算法也适用于l形和c形环境。该算法的主要思想是,首先找出最长的简单探索周期,然后将其扩展到包含未访问的单元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Off-line exploration of rectangular cellular environments with a rectangular obstacle
In this paper, we consider exploring a known rectangular cellular environment that has a rectangular obstacle using a mobile robot. The robot has to visit each cell and return to its starting cell. The goal is to find the shortest tour that visits all the cells. We give a linear-time algorithm that finds the exploration tour of optimal length. While the previous algorithms for environments with obstacles are approximation, the algorithm is presented in this paper is optimal. This algorithm also works for L-shaped and C-shaped environments. The main idea of the algorithm is, first, to find the longest simple exploring cycle, then extend it to include the unvisited cells.
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