Dynamic resource allocation for machine to cloud communications robotics cloud

Abstract

The computation and information sharing capabilities of networked robotics by proposing a clond robotic architecture. The cloud robotics architecture leverages the combination of a virtual ad-hoc clond formed by machine-to-machine (M2M) communications among participating robots, and an infrastructure cloud enabled by machine-to-cloud (M2C) communications. Clond robotics utilizes elastic computing models, in which resources are dynamically allocated from a shared resource pool in the clond, to support task offloading and information sharing In robotic applications. The propose communication protocols, and several elastic computing models to handle different applications. The technical challenges in computation, communications and security, and illustrate the potential benefits of cloud robotics in several applications.