Assessing Precision of Cloud Robotics Device by Visualization for Non-Network Expert

A network is a black box for its users. We can use many metrics to evaluate the network, but for application developers, it is important that the application performs with the desired accuracy, and that understanding the relationship between application behavior and network performance is not a straight forwarding task. In this paper, we developed a tool to visualize the behavior of robotics devices for network-based cloud robotics. This tool has enabled us to apply approaches with similar roles to Mean Opinion Score (MOS) for assessing underlying networks for cloud robotics.