现代制造工程 ›› 2025, Vol. 535 ›› Issue (4): 91-97.doi: 10.16731/j.cnki.1671-3133.2025.04.011

• 机器人技术 • 上一篇    下一篇

基于改进RRT*与DWA融合的移动机器人路径规划算法研究*

付丹丹1, 李波1,2   

  1. 1 湖北文理学院机械工程学院,襄阳 441053;
    2 襄阳华中科技大学先进制造工程研究院,襄阳 441053
  • 收稿日期:2024-04-09 出版日期:2025-04-18 发布日期:2025-05-08
  • 通讯作者: 李波,教授,硕士生导师,博士,主要研究方向为数控装备及制造信息化。E-mail:2176162118@qq.com;113711891@qq.com
  • 作者简介:付丹丹,硕士研究生,主要研究方向为嵌入式设备开发。
  • 基金资助:
    * 湖北省教育厅优秀中青年科技创新团队计划项目(T201919)

Research on path planning algorithm of mobile robot based on improved RRT* and DWA fusion

FU Dandan1, LI Bo1,2   

  1. 1 School of Mechanical Engineering,Hubei University of Arts and Sciences,Xiangyang 441053,China;
    2 XY-HUST Advanced Manufacturing Engineering Research Institute,Xiangyang 441053,China
  • Received:2024-04-09 Online:2025-04-18 Published:2025-05-08

摘要: 路径规划是移动机器人的研究热点,直接关系到移动效率和准确性。针对现有研究尚未有效解决动态障碍物环境下转折点数冗余及避障难等问题,提出了一种基于B样条的改进RRT*与动态窗口法(Dynamic Window Approach,DWA)融合的移动机器人路径规划算法。首先采用节点修剪策略来除去路径中的冗余节点;然后运用B样条曲线来优化修剪后的路径,缩短路径长度,减小转弯角,使路径更平滑;最后融合改进DWA算法,确保在全局最优的情况下实时避开未知障碍物。通过MATLAB仿真和基于ROS系统实验验证,结果表明提出的改进RRT*与DWA融合算法规划路径成本小、运行时间短,可与障碍物保持安全距离,并在避开动态障碍物同时规划出最优路径。

关键词: 移动机器人, 路径规划, 改进RRT*, 动态窗口法, 融合

Abstract: Path planning is a research hotspot of mobile robot,which is directly related to the efficiency and accuracy of mobile robot. Aiming at the problems that the existing research has not effectively solved the redundancy of turning points and the difficulty of obstacle avoidance in dynamic obstacle environment,a path planning algorithm of mobile robots based on B-spline improved RRT* and Dynamic Window Approach (DWA) fusion was proposed. Firstly,the node pruning strategy was adopted to remove redundant nodes in the path. Then, B-spline curve was used to optimize the pruned path,shorten the path length,reduce the turning angle and make the path smoother. Finally,the improved DWA algorithm was integrated to ensure in real time avoidance of unknown obstacles under the condition of global optimization. Through MATLAB simulation and experiment based on ROS system,the results show that the proposed improved RRT* and DWA fusion algorithm has the advantages of low cost,short running time,and can keeping a safe distance from obstacles,and planning the optimal path while avoiding dynamic obstacles.

Key words: mobile robot, path planning, improved RRT*, Dynamic Window Approach (DWA), fusion

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