A Dual-Robot Welding Path Planning Method Based on Kmeans and Ant Colony Algorithms*

Jingjing Wang, Hongli Deng, Cun Wang, Xinliang Cao
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引用次数: 2

Abstract

For the problem of double robots working together in the welding process, this project proposes a path planning method based on Kmeans algorithm and ant colony algorithm. The Kmeans algorithm is used to classify all weld joint tasks and reasonably assign them to individual robots. The ant colony algorithm is used to sort the weld joints assigned to individual robots and also to plan the work route for each robot. The simulation results show that the task assignment to this method is more scientific and reasonable than the existing methods, and the path planning results are shorter than the existing ones.
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基于Kmeans和蚁群算法的双机器人焊接路径规划方法*
针对双机器人在焊接过程中协同工作的问题,本课题提出了一种基于Kmeans算法和蚁群算法的路径规划方法。使用Kmeans算法对所有焊接任务进行分类,并合理地分配给各个机器人。采用蚁群算法对分配给各个机器人的焊缝进行排序,并规划每个机器人的工作路线。仿真结果表明,该方法的任务分配比现有方法更科学合理,路径规划结果比现有方法更短。
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