Large Scale Distributed Data Processing for a Network of Humanoid Telepresence Robots

Abstract

We present an open-source data lake architecture implemented to store and process data from robotic systems at large scale. In particular, we leverage our architecture for the use case of processing data from a network of humanoid telepresence robotic avatars that are controlled by human operators wearing immersive telepresence control suits. Our architecture leverages well-established open-source technologies and integrates into existing robot frameworks and middleware such as Robot Operating System (ROS) and Data Distribution Service (DDS).