The Design and Implementation of Arm Wrestling Robot

In this paper, we develop a 2-DOF robot system for arm wrestling with human. By using the sensor system, we analyze the changes in surface electromyographic (EMG) signal associated with V, a, angle of players response to forced actions. The joint elbow torque is estimated by artificial neural network. We also propose a humanoid algorithm using torque estimated via ANN and the effectiveness of the method is confirmed

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