ZHAO Weixin, ZHANG Wenchao, WANG Mingwei, WANG Chenxi, JIANG Han, LI Da. Optimization of industrial robots off-line programming for grasping tasks[J]. Manufacturing Technology & Machine Tool, 2023, (2): 34-39. DOI: 10.19287/j.mtmt.1005-2402.2023.02.004
Citation: ZHAO Weixin, ZHANG Wenchao, WANG Mingwei, WANG Chenxi, JIANG Han, LI Da. Optimization of industrial robots off-line programming for grasping tasks[J]. Manufacturing Technology & Machine Tool, 2023, (2): 34-39. DOI: 10.19287/j.mtmt.1005-2402.2023.02.004

Optimization of industrial robots off-line programming for grasping tasks

  • In order to improve the operation efficiency of the robot and reduce the production cost, the off-line programming for grasping process of the industrial robot is optimized. This Paper takes the IRB1200 robot as the research object. Firstly, the kinematics model of the robot is built by the forward and inverse kinematics. Secondly, the processing technology and the running trajectory are analyzed. Thirdly, the simulation platform is built in Tecnomatix environment to analyze the TCP speed under different motion conditions. Finally, the off-line programming of the robot before and after the speed are compared. Consequently, the processing time can be shortened by about 10%. The experiments have verified that the optimization method can improve the motion efficiency of industrial robots, and reduce the work energy consumption.
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