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Error Modeling and Accuracy of TAU Robot

Hongliang Cui, Zhenqi Zhu, Zhongxue Gan, Torgny Brogårdh

发表年份
2008
引用次数
2
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摘要

It can be observed from the results, that Jacobian Matrix is effective with an accuracy up to 1.53 um with an input error of 1 mm (Link 1 of lower arm 1). This was verified using ADAMS simulation results. Results from N-R method match very well with ADAMS simulation with a difference of only 0.06 um. Based on the D-H model and an accurate Jacobian matrix, a series of results have been presented including error analysis, forward kinematic, redundant variable determination, error budget, and Jacobian approximation method. The Jacobian approximation method can be used in on-line control of the robot. For the TAU robot, a closed form solution of a forward kinematic problem is reached with a high accuracy instead of N-R numerical solution. The simulation results are almost perfect compared with that from ADAMS.

关键词

Computer scienceArtificial intelligence

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