Research on Absolute Positioning Error of Robot Based on Mapping Theory

Author:

Dong Guan Hua1,Yin Ying1,Hu Xiao Bing1

Affiliation:

1. Sichuan University

Abstract

Joint-typical Industrial robots tend to have higher repetitive positioning accuracy and lower absolute positioning accuracy. In order to improve the absolute positioning accuracy of robots, this paper puts forward a compensation algorithm based on the mapping theory combining with the kinematics equation, which establish the connection between the space of off-line programming and teaching-programming, so as to approximate the repeat positioning accuracy. A experiment is implemented to confirm its correctness, and the result shows that the supposed method can improve the absolute positioning accuracy heavily, which the absolute positioning error reduces from 8.32mm to 1.08mm.

Publisher

Trans Tech Publications, Ltd.

Reference7 articles.

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4. WANG Dong-shu, CHI Jian-nan, XU Fang, XU Xin-he. Genetic Neural Net work And Its Application in Robot Error Compensation[J]. Journal of Northeastern University, 2006(01).

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