重型机械Issue(1)：44-46,3.
基于改进蚁群算法的焊接机器人路径规划
Path planning of welding robot based on improved ant colony optimization
金嘉琦 1刘畅 1徐振伟1
作者信息
- 1. 沈阳工业大学机械工程学院,辽宁沈阳110870
- 折叠
摘要
Abstract
In order to solve the situation that path planning of welding robot for automobile body is not reasonable,this paper analyzed of the welding robot motion process,established a mathematical model of effective path planning.Through studying ant colony optimization,the genetic operator theory of genetic algorithm was introduced into the ant colony optimization,and the corresponding program was prepared using by MATLAB.The results show that the improved ant colony optimization can better apply to path planning and plan out a reasonable welding path.关键词
焊接机器人/路径规划/改进蚁群算法Key words
welding robot/path planning/improved ant colony optimization分类
矿业与冶金引用本文复制引用
金嘉琦,刘畅,徐振伟..基于改进蚁群算法的焊接机器人路径规划[J].重型机械,2017,(1):44-46,3.
