科学技术与工程2024,Vol.24Issue(13) :5421-5426.DOI:10.12404/j.issn.1671-1815.2303964

基于改进A*算法的燃气微泄漏四足巡检机器人路径规划

Path Planning of Gas Micro-leakage Quadruped Inspection Robot Based on Improved A*Algorithm

肖瑶 王强 金仲平 唐奇超 巫宇航 贺韬宇
科学技术与工程2024,Vol.24Issue(13) :5421-5426.DOI:10.12404/j.issn.1671-1815.2303964

基于改进A*算法的燃气微泄漏四足巡检机器人路径规划

Path Planning of Gas Micro-leakage Quadruped Inspection Robot Based on Improved A*Algorithm

肖瑶 1王强 1金仲平 2唐奇超 1巫宇航 1贺韬宇1
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作者信息

  • 1. 中国计量大学质量与安全工程学院,杭州 310018
  • 2. 台州市特种设备检验检测研究院,台州 317700
  • 折叠

摘要

针对四足机器人在城市燃气微泄漏巡检中路径规划的需求,提出了 一种基于改进A*算法的四足机器人燃气巡检路径获取方法.首先,采用网格法构建了四足机器人的二维工作地图;其次,改进A*算法的启发函数,引入了自适应调整策略,让搜索节点减少且路径更不易陷入局部最优;最后,从路径长度、平均搜索时间、搜索节点个数3个性能方面进行评估,改进A*算法达到了预期效果.使用MATLAB2016b作为仿真软件,仿真结果显示,改进A*算法完成了寻路任务.与经典A*算法相比,改进算法的平均搜索时间降低了 52.13%,搜索节点个数减少了 30.23%.该算法在尺寸200 × 200以下地图的路径规划中具有较高的搜索效率.

Abstract

Aiming at the requirement of path planning of the quadruped robot in urban gas micro-leakage inspection,a path acquisition method for gas inspection of quadruped robots based on improved A*algorithm was proposed.Firstly,the grid method was used to construct a two-dimensional working map of the quadruped robot.Then,the heuristic function of A*algorithm was improved,and the adaptive adjustment strategy was introduced to reduce the number of search nodes and make the search path less prone to local optimal.Finally,the improved A*algorithm achieved the expected effect when evaluating from path length,average search time and number of search nodes.Using MATLAB2016b as the simulation software,the simulation results show that the improved A*algorithm successfully completes the pathfinding task.Compared with the classical A*algorithm,the average search time of the improved algorithm is reduced by 52.13%,and the number of search nodes is reduced by 30.23%.The algorithm has higher search efficiency in the path planning of maps with size less than 200 × 200.

关键词

燃气巡检/路径规划/A*算法/四足机器人/环境建模

Key words

gas inspection/path planning/A*algorithm/quadruped robot/environmental modeling

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基金项目

浙江省尖兵领雁研发攻关计划(2022C03179)

浙江省万人计划科技创新领军人才项目(2019R52017)

出版年

2024
科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子:0.338
ISSN:1671-1815
参考文献量20
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