Robot Position Control Using Force Information by Neural Network in Remote Robot Systems

This paper constructs a neural network model to improve the efficiency of the robot position control using force information, which was proposed as Quality of Service (QoS) control previously, for cooperative work between two remote robot systems with force feedback. Simulation results show that the neural network model is effective.