现代制造工程 ›› 2018, Vol. 451 ›› Issue (4): 59-63.doi: 10.16731/j.cnki.1671-3133.2018.04.011

• 机器人技术 • 上一篇    下一篇

准三维机器人路径规划的改进蚁群算法

夏清松, 唐秋华, 张利平   

  1. 武汉科技大学机械自动化学院, 武汉 430081
  • 收稿日期:2016-08-10 出版日期:2018-04-20 发布日期:2018-07-18
  • 通讯作者: 国家自然科学基金项目(51275366, 50875190)
  • 作者简介:夏清松, 硕士研究生, 主要研究方向为机器人路径规划、生产计划与调度。唐秋华, 通信作者, 教授, 博士研究生导师。E-mail:tangqiuhua@.wust.edu.cn;719304890@qq.com

Quasi three dimensional robot path planning of the improved ant colony algorithm

Xia Qingsong, Tang Qiuhua, Zhang Liping   

  1. College of Machinery and Automation, Wuhan University of Science & Technology, Wuhan 430081, China
  • Received:2016-08-10 Online:2018-04-20 Published:2018-07-18

摘要: 机器人在荒野物资运输和山地自由行走时, 需要在山地表面规划出行走路线, 为此提出改进的蚁群算法加以求解。根据坡度提出避障规则, 在满足避障约束条件下, 合理增加路径的多样性;根据当前节点到目标点和起点的距离, 重新设计启发式函数, 驱使机器人尽量沿着起点和目标点之间的最短路径行进;依据实时路径长度, 动态调整挥发系数, 以精炼搜索空间、提高收敛性能。将改进蚁群算法与原始算法进行比较, 实验结果表明改进蚁群算法的有效性优于原始蚁群算法。

关键词: 蚁群算法, 机器人路径规划, 栅格法, 准三维

Abstract: When the wild material transportation and the mountainous area free walk, need to plan the walking route in the mountainous area, proposes the improved ant colony algorithm to solve the problem.In order to meet the obstacle avoidance constraints, the slope of the obstacle avoidance rules reasonably increase the diversity of the path;according to the distance between the current node to the target and the starting point, a new heuristic function is designed to drive the robot to move along the shortest path between the starting point and the target point.The volatile coefficient is adjusted dynamically with the length of real time path, to refine the search space and improve the convergence performance.The improved ant colony algorithm is compared with the original algorithm, the experiment shows that the improved ant colony algorithm is better than the basic ant colony algorithm.

Key words: ant colony algorithm, robot path planning, Grid method, quasi three dimensional

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