Path planning of spot welding robot based on multi-objective grey wolf algorithm

Autor:	Yun-tao Zhao, Ao Liu, Wei-gang Li, Lei Gan
Rok vydání:	2021
Předmět:	Statistics and Probability Artificial Intelligence business.industry Computer science General Engineering Robot ComputerApplications_COMPUTERSINOTHERSYSTEMS Computer vision Artificial intelligence Motion planning business Spot welding
Zdroj:	Journal of Intelligent & Fuzzy Systems. 41:6181-6189
ISSN:	1875-8967 1064-1246
DOI:	10.3233/jifs-202810
Popis:	The path planning of traditional spot welding mostly uses manual teaching method. Here, a new model of path planning is established from two aspects of welding length and welding time. Then a multi-objective grey wolf optimization algorithm with density estimation (DeMOGWO) is proposed to solve multi-object discrete problems. The algorithm improves the coding method and operation rules, and sets the density estimation mechanism in the environment update. By comparing with other five algorithms on the benchmark problem, the simulation results show that DeMOGWO is competitive which takes into account both diversity and convergence. Finally, the DeMOGWO algorithm is used to solve the model established of path planning. The Pareto solution obtained can be used to guide the welding sequence of body-in-white(BIW) workpieces.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3b9b8654be23b38c2338f988addcee77 https://doi.org/10.3233/jifs-202810 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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