孟庆浩, 彭商贤, 刘大维. 基于Q-M图启发式搜索的移动机器人全局路径规划[J]. 机器人, 1998, 20(4): 273-279.
引用本文: 孟庆浩, 彭商贤, 刘大维. 基于Q-M图启发式搜索的移动机器人全局路径规划[J]. 机器人, 1998, 20(4): 273-279.
MENG Qinghao, PENG Shangxian, LIU Dawei. MOBILE ROBOT GLOBAL PATH PLANNING USING HEURISTICSEARCH ON THE Q-M GRAPH[J]. ROBOT, 1998, 20(4): 273-279.
Citation: MENG Qinghao, PENG Shangxian, LIU Dawei. MOBILE ROBOT GLOBAL PATH PLANNING USING HEURISTICSEARCH ON THE Q-M GRAPH[J]. ROBOT, 1998, 20(4): 273-279.

基于Q-M图启发式搜索的移动机器人全局路径规划

MOBILE ROBOT GLOBAL PATH PLANNING USING HEURISTICSEARCH ON THE Q-M GRAPH

  • 摘要: 本文采用Quine-McCluskey(Q-M)提出的用逻辑方法寻找素蕴涵(primeim plicants)的思想,提取给定环境中所有基本矩形自由区域(prime rectang lefre earea),并将这些区域表示为连通图(我们称之为Q-M图)的节点.提出首先使用双向A*算法搜寻连通图中的最优节点路径,然后采用超前尽可能多个节点的思想规划实际几何路径.通过仿真研究表明,本文提出的方法计算简单,规划的路径可以达到或接近最优路径.

     

    Abstract: This paper adopts the Quine-McCluskey method of finding prime implicants in a logical expression to isolate all the largest rectangle free area in a specified environment,the free rectangle areas are represented as nodes in a connected graph. We present the double-direction A algorithm to search the optimal nodes path,which is suitable for this kind of graph search. Then the idea of as many as possible nodes look ahead is put forward to plan the actual geometric path. Our method is proved to be very effective by two simulations.

     

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