Path Optimization of Spraying Robot Based on Archimedes Optimization Algorithm
In order to improve the working efficiency of the spraying robot and shorten the spraying path,this paper proposes a path optimization method of the spraying robot based on Archimedes algorithm.Taking the starting point of spraying,spraying direc-tion and spraying sequence as decision variables,the spraying area is divided into multiple areas,and a path optimization model of the spraying robot considering collision constraints is established.The model is solved using the Archimedes optimization algorithm.A typical workpiece is used for path planning experiments,and the results are compared with the optimization results of other algorithms.The results show that the optimization results of the AOA algorithm can meet the collision constraints,The fewer iterations during con-vergence and higher convergence accuracy verify the correctness and practicality of the path optimization method for spray painting ro-bots proposed in this paper.
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