现代制造工程 ›› 2025, Vol. 536 ›› Issue (5): 99-105.doi: 10.16731/j.cnki.1671-3133.2025.05.012

• 机器人技术 • 上一篇    下一篇

融合改进双向A*与动态窗口法的仓储移动机器人路径规划

刘震1, 张洪1,2   

  1. 1 江南大学机械工程学院,无锡 214122;
    2 江苏省食品先进制造装备技术重点实验室,无锡 214122
  • 收稿日期:2024-06-07 出版日期:2025-05-18 发布日期:2025-05-30
  • 通讯作者: 张洪,博士,副教授,主要研究方向为机器人智能控制、机电检测与控制技术。E-mail:1105399774@qq.com
  • 作者简介:刘震,硕士研究生,主要研究方向为机器人智能控制。E-mail:1982065205@qq.com

Warehouse mobile robot path planning integrating improved bidirectional A* and dynamic window approach

LIU Zhen1, ZHANG Hong1,2   

  1. 1 School of Mechanical Engineering,Jiangnan University,Wuxi 214122,China;
    2 Jiangsu Provincial Key Laboratory of Advanced Food Manufacturing Equipment Technology,Wuxi 214122,China
  • Received:2024-06-07 Online:2025-05-18 Published:2025-05-30

摘要: 针对传统A*算法在复杂环境下搜索效果差、路径曲折、拐角与障碍物距离过近且避障能力差等问题,提出了一种融合改进双向A*与动态窗口法(Dynamic Window Approach,DWA)的机器人路径规划算法。首先,引入双向搜索机制与自适应启发函数,以提高算法的搜索速度;其次,应用线段相交法结合安全距离判定剔除冗余点,以确保路径更加安全、平缓;然后,在DWA中加入方位角与目标点距离判定,以增强算法的避障能力;最后,在优化后的全局路径上分段使用DWA进行实时避障。仿真结果显示,融合算法能在复杂场景下生成安全边界内的平滑路径,有效躲避障碍物,快速到达目标点。

关键词: 路径规划, 改进A*算法, 动态窗口法, 实时避障

Abstract: Addressing the problems of the traditional A* algorithm in complex environments,including poor searching effect,tortuous paths,too close corners with obstacles and poor obstacle avoidance,a robot path planning algorithm integrating improved bidirectional A* and Dynamic Window Approach (DWA) was proposed. Firstly,the bidirectional search mechanism and adaptive heuristic function were introduced to improve the search speed of the algorithm.Secondly,the line segment intersection method and safe distance determination were used to eliminate redundant points to ensure a safer and smoother path. Then,azimuth and target distance determination were added to DWA to enhance the obstacle avoidance ability of the algorithm. Finally,DWA was used in real-time obstacle avoidance in segments of the optimized global path.Simulation results show that the fusion algorithm can generate smoother paths within the safety boundary in complex scenes,effectively avoid obstacles and quickly reach the target point.

Key words: path planning, improved A* algorithm, Dynamic Window Approach (DWA), real-time obstacle avoidance

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