A Study of Six Degrees of Freedom Welding Robot Path Planning Based on Genetic Algorithms
In this paper, modeling is planned on the basis of characteristics of six degrees of freedom welding robot. According to the characteristics of the genetic algorithm, the modeling take the advantage of the most representative weighting method of multi-objective optimization design method to weigh all the performance requirements and determine the fitness function, and to plan an optimal trajectory capable of keeping the arm of welding robot from multiple obstacles and meeting the requirements of exercise time, track length, kinematics and dynamics at the same time.
Genetic algorithms six degrees of freedom path planning multi-objective optimization
Haiming Shen Qian Kang Xiaofeng Yuan
ChongQing University of Arts and Sciences, China Chongqing Water Resources And Electric Engineering College, China Yongchuan Middle School, China
国际会议
重庆
英文
756-760
2015-12-18（万方平台首次上网日期，不代表论文的发表时间）