Mobile Robot Path Planning Based on the Focused Heuristic Algorithm

Jia-Ming Lyu, Tian Ma, Wu Zhang, Yukun Yang
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Abstract

Aiming at the problems of low search efficiency, high search cost, and redundant search range in the traditional D* Lite algorithm in solving the path planning problem, the Focused D* Lite (FDL) algorithm is proposed. The proposed algorithm optimizes and adjusts the node and line respectively. Firstly, based on the current coordinates of mobile robots, the feasibility judgment and information transmission of obstacle information in eight neighborhoods are carried out to enhance the search capability of each step and ensure the effectiveness of the subsequent search. Secondly, the weight assignment is provided for the planned path to improve the concentration of the planned path, so that the algorithm can focus on the key and leading path, reduce the divergence of the algorithm, reduce invalid search and improve the efficiency of the algorithm planning. Simulation results show that the FDL algorithm is more efficient and also could maintain the same level of path quality.
基于聚焦启发式算法的移动机器人路径规划
针对传统D* Lite算法在求解路径规划问题时搜索效率低、搜索成本高、搜索范围冗余等问题,提出了聚焦D* Lite (Focused D* Lite, FDL)算法。该算法分别对节点和线路进行优化和调整。首先,基于移动机器人的当前坐标,对8个邻域的障碍物信息进行可行性判断和信息传递,增强每一步的搜索能力,保证后续搜索的有效性。其次,为规划路径提供权值分配,提高规划路径的集中度,使算法能够专注于关键路径和主导路径,减少算法的发散性,减少无效搜索,提高算法规划的效率。仿真结果表明,FDL算法在保持相同路径质量水平的前提下,效率更高。
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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