华南理工大学学报(自然科学版) ›› 2010, Vol. 38 ›› Issue (1): 124-127.doi: 10.3969/j.issn.1000-565X.2010.01.024

• 机械工程 • 上一篇    下一篇

基于广义势场的多机器人避碰算法

赵东 郑时雄   

  1. 华南理工大学 机械与汽车工程学院, 广东 广州 510640
  • 收稿日期:2009-02-18 修回日期:2009-06-05 出版日期:2010-01-25 发布日期:2010-01-25
  • 通信作者: 赵东(1970-),男,博士生,主要从事多智能体系统、智能控制研究. E-mail:scutzd@sina.com
  • 作者简介:赵东(1970-),男,博士生,主要从事多智能体系统、智能控制研究.
  • 基金资助:

    国家自然科学基金资助项目(50675069)

Multi-Robot Collision Avoidance Algorithm Based on Generalized Potential Field

Zhao Dong  Zheng Shi-xiong   

  1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China
  • Received:2009-02-18 Revised:2009-06-05 Online:2010-01-25 Published:2010-01-25
  • Contact: 赵东(1970-),男,博士生,主要从事多智能体系统、智能控制研究. E-mail:scutzd@sina.com
  • About author:赵东(1970-),男,博士生,主要从事多智能体系统、智能控制研究.
  • Supported by:

    国家自然科学基金资助项目(50675069)

摘要: 针对目前多机器人避碰算法存在的计算复杂、缺乏普适性等的局限性,以传统人工势场法为基础,将协商和意愿引入人工势场范畴,提出了多机器人系统运动规划的广义势场算法.该算法以物理空间障碍为基础构造排斥势场,以意愿为基础构造吸引势场,并通过排斥势场与吸引势场的拓扑积构成人工势场.在人工势场中,通过对势场中微团运动趋势的求解就可得出所需的路径规划.实验证明,该算法不仅具有人工势场法系统模型构造简单、能够进行最优路径规划的优势,而且在系统运行过程中有效地避免了系统死锁的发生.

关键词: 移动机器人, 路径规划, 避碰算法, 广义势场

Abstract:

As the existing multi-robot collision avoidance algorithm is of high computational complexity and poor applicability, a new algorithm based on the generalized potential field and the traditional artificial potential field-based algorithm, which takes into consideration the consult and desire of the robot, is proposed for the motion planning of multi-robot system. In this algorithm, a repellence potential field is built based on the obstacles in the physical space, a gravitation potential field is built based on the desire, and a generalized artificial potential field is built by the topological product of the repellence and the gravitation potential fields. By solving the motion trend of the mini- cells in the established artificial potential field, a road planning can be successfully implemented. Experimental re- sults indicate that, as compared with the traditional artificial potential field-based algorithm, the proposed algorithm is also simple in structure and is superior in terms of optimal path planning and mobile collision avoidance.

Key words: mobile robot, path planning, collision avoidance algorithm, generalized potential field