Abstract
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.
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Acknowledgments
The authors appreciate the support of Shanghai Natural Science Foundation (14ZR1409900), Key Program for the Fundamental Research of Shanghai Committee of Science and Technology (12JC1403400), and National Major Scientific Instruments Equipment Development Project (2012YQ15000105).
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Wang, X.W., Shi, Y.P., Yu, R., Gu, X.S. (2015). Intelligent Welding Robot Path Planning. In: Deng, Z., Li, H. (eds) Proceedings of the 2015 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46463-2_4
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DOI: https://doi.org/10.1007/978-3-662-46463-2_4
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