A Holistic Cloud-Enabled Robotics System for Real-Time Video Tracking Application
Future distributed sensor fusion applications will require efficient methods of information management such as Cloud computing. Using a server-based cloud-enabled software architecture would increase performance over hardware con- straints (e.g., power, memory, and processors). In this paper, we propose a comprehensive framework for information fusion demonstrated for Cloud Robotics, which possesses user favorable features such as good scalability and elasticity. Robots are con- nected together to form a networked robotic system that is able to accomplish more computationally intensive tasks. Supported by the emerging Cloud computing technology, cloud-enabled robotic systems (CERS) provide even more powerful capabilities to users, yet keeping the simplicity of a set of distributed robots. Through an experimental study, we evaluate the memory, speed, and processors needed for a video tracking application.