Welding Robot Collision-Free Path Optimization
AbstractReasonable welding path has a significant impact on welding efficiency, and a collision-free path should be considered first in the process of welding robot path planning. The shortest path length is considered as an optimization objective, and obstacle avoidance is considered as the constraint condition in this paper. First, a grid method is used as a modeling method after the optimization objective is analyzed. For local collision-free path planning, an ant colony algorithm is selected as the search strategy. Then, to overcome the shortcomings of the ant colony algorithm, a secondary optimization is presented to improve the optimization performance. Finally, the particle swarm optimization algorithm is used to realize global path planning. Simulation results show that the desired welding path can be obtained based on the optimization strategy. View Full-Text
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Wang, X.; Xue, L.; Yan, Y.; Gu, X. Welding Robot Collision-Free Path Optimization. Appl. Sci. 2017, 7, 89.
Wang X, Xue L, Yan Y, Gu X. Welding Robot Collision-Free Path Optimization. Applied Sciences. 2017; 7(2):89.Chicago/Turabian Style
Wang, Xuewu; Xue, Lika; Yan, Yixin; Gu, Xingsheng. 2017. "Welding Robot Collision-Free Path Optimization." Appl. Sci. 7, no. 2: 89.
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