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Approximate Jacobian robot control with adaptive Jacobian matrix

Authors: Chien Chern Cheah;

Approximate Jacobian robot control with adaptive Jacobian matrix

Abstract

In this paper, we present approximate Jacobian feedback control laws for setpoint control of robot with uncertain kinematics from joint space to task space. An adaptive law is proposed to update the approximate Jacobian matrix to improve the performance. Sufficient conditions for the feedback gains are presented to guarantee the stability of the robot's motion. Simulation results are presented to illustrate the performance of the proposed adaptive controllers.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Top 10%
Average
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