Abstract
Most research so far on motion and force tracking control of robots has assumed that the kinematics and dynamics are exactly known. In this paper, we propose an adaptive Jacobian controller for motion and force tracking with uncertainties in kinematics and dynamics. It is shown that the robot end-effector can track the desired position and force trajectories with the uncertain parameters updated online. Simulation results are presented to illustrate the performance of the proposed control law
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