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Abstract:
This paper presents a neural network based control strategy for the trajectory control of robot manipulators. The neural network learns the inverse dynamics of a robot manipulator without any a priori knowledge of the equation of dynamics. A two step feedback-error-learning process is proposed. Strategies for selection of the training trajectories and difficulties with on-line training are discussed. Simulation of a two degree of freedom serial link manipulator shows the effectiveness of the proposed method. Experiments are performed on a two degree of freedom, direct drive manipulator. The experimental results are very good.
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