Intelligent Welding Robot Path Planning
作者单位：School of Information Science and EngineeringEast China University of Science and Technology
会议名称：《2015年中国智能自动化学术会议》
会议日期：2015年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080202[工学-机械电子工程] 081104[工学-模式识别与智能系统] 08[工学] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：the support of Shanghai Natural Science Foundation(14ZR1409900) Key Program for the Fundamental Research of Shanghai Committee of Science and Technology(12JC1403400) National Major Scientific Instruments Equipment Development Project(2012YQ15000105)
关 键 词：Welding robot Path planning Particle swarm optimization Genetic algorithm
摘 要：Spot welding robots are now widely used in manufacturing industry,and usually many welding joints have to be traversed in welding *** path planning for welding robot is based on engineering experiments where teaching and playback were applied in most *** usually takes the engineer much time to obtain desired welding path,and sometimes,it is difficult to find an optimal path for spot welding robot especially when the number of welding joints is ***,welding robot path planning has become one key technology in this *** optimization algorithm is beneficial for realizing effective welding robot path *** this end,particle swarm optimization(PSO) algorithm was improved ***,the improved PSO algorithm was applied for path planning of welding robot,and the simulation results show the effectiveness of the method.