Effect of Neural Network on Robot Position Control Using Force Information

In this paper, we focus on the application of a neural network model to QoS (Quality of Service) control for a remote robot system with force feedback. We have constructed the model to improve the efficiency of the robot position control using force information, which was proposed as QoS control previously. By experiment, we demonstrate that the model is effective.