Intelligent Welding Robot Path Planning

摘要：

　　Spot welding robots are now widely used in manufacturing industry,and usually many welding joints have to be traversed in welding process.The path planning for welding robot is based on engineering experiments where teaching and playback were applied in most cases.It 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 huge.Hence,welding robot path planning has become one key technology in this field.Intelligent optimization algorithm is beneficial for realizing effective welding robot path planning.To this end,particle swarm optimization(PSO)algorithm was improved first.Then,the improved PSO algorithm was applied for path planning of welding robot,and the simulation results show the effectiveness of the method.

关键词： Welding robot Path planning Particle swarm optimization Genetic algorithm

作者: Xue Wu Wang Ying Pan Shi Rui Yu Xing Sheng Gu

作者单位: School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 25-32

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）