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- W2368713010 abstract "In this paper,an innovative method based on ILC(iterative learning control) could be used to optimize the speed of the industrial robots.Learning through the system following error,the robotic system could achieve the optimum speed within the system following error,and gets the optimization of stacking robotic speed system.Further more,ILC requires little to model the robotic system,so it's easy to achieve itself in real machine.The results of the system simulation indicate that,under the circumstances of computing robotic system parameter,and comparing the optimization with ILC to the original results,ILC could increase the stacking speed by 10%~20% through improving local speed." @default.
- W2368713010 created "2016-06-24" @default.
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- W2368713010 date "2010-01-01" @default.
- W2368713010 modified "2023-09-25" @default.
- W2368713010 title "Track Optimization for Stacking Robots Based on Iterative Learning Control" @default.
- W2368713010 hasPublicationYear "2010" @default.
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