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改进A*与DWA的交通隔离机器人路径规划研究

李靖 徐海黎 蔡嘉俊 马守权 张思维 邢强

现代电子技术2026,Vol.49Issue(13):191-198,8.
现代电子技术2026,Vol.49Issue(13):191-198,8.DOI:10.16652/j.issn.1004-373X.2026.13.027

改进A*与DWA的交通隔离机器人路径规划研究

Traffic isolation robot path planning based on improved A* and dynamic window approach

李靖 1徐海黎 1蔡嘉俊 1马守权 2张思维 2邢强1

作者信息

  • 1. 南通大学 机械工程学院,江苏 南通 226019
  • 2. 南通天承光电科技有限公司,江苏 南通 226100
  • 折叠

摘要

Abstract

In view of the prolonged search time and excessive hazardous points in paths when applying the traditional A*algorithm to traffic isolation robots,this study proposes a hybrid algorithm integrating improved A* with the dynamic window approach(DWA).Firstly,a four-neighborhood combined with left-right symmetric convex neighborhood search strategy is employed,along with an angular search strategy and the obstacle-distance-map weighting strategy(ODMW),to optimize redundant nodes in global paths.A bidirectional A* scheme is introduced to enhance search efficiency.Subsequently,the enhanced A* global path planning algorithm is integrated with DWA to improve real-time obstacle avoidance capabilities.Finally,simulations and physical experiments were conducted to evaluate the performance of the improved algorithm.The results demonstrate that the optimized A* algorithm significantly reduces hazardous points along paths,decreases average search time by 68.22%,and reduces average expanded nodes by 55.76%.Moreover,the hybrid algorithm combining improved A* with DWA enables traffic isolation robots to accurately reach targets while effectively avoiding unknown obstacles.

关键词

交通隔离机器人/路径规划/改进A*算法/DWA算法/算法融合/动态避障

Key words

traffic isolation robot/path planning/improved A* algorithm/DWA/algorithm fusion/dynamic obstacle avoidance

分类

信息技术与安全科学

引用本文复制引用

李靖,徐海黎,蔡嘉俊,马守权,张思维,邢强..改进A*与DWA的交通隔离机器人路径规划研究[J].现代电子技术,2026,49(13):191-198,8.

基金项目

南通市自然科学基金(JC2023062) (JC2023062)

现代电子技术

1004-373X

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