Robot path planning using intersecting convex shapes: Analysis and simulation

Sanjiv Singh, M. D. Wagh
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引用次数: 67

Abstract

An automated path planning algorithm for a mobile robot in a structured environment is presented. An algorithm based on the Quine-McCluskey method of finding prime implicants in a logical expression is used to isolate all the largest rectangular free convex areas in a specified environment. The free convex areas are represented as nodes in a graph, and a graph traversal strategy that dynamically allocates costs to graph paths is used. Complexity of the algorithm and a strategy to trade optimality for smaller computation time are discussed.
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使用相交凸形的机器人路径规划:分析与仿真
提出了一种结构化环境下移动机器人的自动路径规划算法。基于奎因-麦克卢斯基方法在逻辑表达式中寻找素数蕴涵,利用该算法分离出给定环境中所有最大的矩形自由凸区域。自由凸区域表示为图中的节点,并使用动态分配代价到图路径的图遍历策略。讨论了算法的复杂性和一种以更小的计算时间换取最优性的策略。
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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