首页 /研究 /An improved genetic algorithm based robot path planning method without collision in confined workspace
OTHER

An improved genetic algorithm based robot path planning method without collision in confined workspace

Wenyu Tam, Lianglun Cheng, Tao Wang, Wenya Xia, Liangzhou Chen

发表年份
2019
引用次数
5

摘要

The manufacturing process of ships and marine engineering equipment involves a large number of welding processes of complex components. It is difficult for industrial robots to plan the welding path because of the complex distribution of the weld seams and environmental obstacles as well as the specific technological requirements of arc welding process. In this paper, the typical welding components are numerically modelled. Considering the joint collision-free constraint in the moving process of a robot and the welding technological constraints (e.g., welding direction) of some special welding seams, an improved Re-GA algorithm for planning a robot welding operation path in a complex workspace is proposed, and an optimal welding path can be obtained. The simulation results show that the Re-GA has reliable optimisation ability in the case of a small population size.

关键词

WorkspaceMotion planningCollisionGenetic algorithmComputer sciencePath (computing)Collision avoidanceRobotAlgorithmArtificial intelligence

相关论文

查看 OTHER 分类全部论文