Influence of Network Delay on QoS Control Using Neural Network in Remote Robot Systems with Force Feedback

摘要

In this paper, we focus on the application of big data, cloud computing, and AI (Artificial Intelligence) to QoS (Quality of Service) control to remote robot systems with force feedback. As the first step of our research, we investigate the influence of cloud delay on the remote robot systems while using big data, cloud computing, and AI technology by experiment. In the experiment, we deal with a task in which two robot arms of the two remote robot systems grasp an object and carry the object together. By using big data, cloud computing, and neural network, we predict the optimum value for the robot position control using force information, which we previously proposed as QoS control, in the system, and investigate the influence of cloud delay. Experimental results show that our method is effective, and the feedback force becomes larger as the delay increases.