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The performance of robot force tracking control is affected by the uncertainties in both the robot dynamic model and environment stiffness. The purpose of this paper is to improve the controller robustness by applying the neural network (NN) technique to compensate for the uncertainties of the robot model at input trajectory level rather than at the joint torque level. In addition, a self-adaptive...
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