Cloud Robotics: Architecture, Challenges and Applications

Provided by: Institute of Electrical & Electronic Engineers
Topic: Cloud
Format: PDF
The authors extend the computation and information sharing capabilities of networked robotics by proposing a cloud robotic architecture. The cloud robotics architecture leverages the combination of a virtual ad-hoc cloud formed by Machine-To-Machine (M2M) communications among participating robots, and an infrastructure cloud enabled by Machine-To-Cloud (M2C) communications. Cloud robotics utilizes elastic computing models, in which resources are dynamically allocated from a shared resource pool in the cloud, to support task offloading and information sharing in robotic applications. They propose communication protocols, and several elastic computing models to handle different applications.

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