An Investigation on Cloud Robotics and Automation Control Systems Technology

Research Area: Volume 4,Issue 3, May 2015 Year: 2015
Type of Publication: Article Keywords: Cloud Automation, Cloud Robotics, Big Data, Cloud Computing, Open Source, Crowd Sourcing
Authors:
  • Kunal Malhotra
Journal: IJEIR Volume: 4
Number: 3 Pages: 506-509
Month: May
Abstract:
The Cloud has come up now as an infrastructure and a rich collection of Internet-accessible resources. It has a high potential to provide noteworthy benefits to robots and automation systems. This review is organized around four possible benefits: i) Big Data ii) Cloud Computing, iii) Collective Robot Learning and iv)Human Computation i.e. use of crowd sourcing to tap human skills for analyzing images and video, classification, learning, and error recovery. 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. Most robots and automation systems still operate independently using available computation, memory, and programming. Emerging advances and the increasing availability of networking in the Cloud suggests new approaches where processing is performed remotely with access to dynamic global datasets to carry out a large range of functions.

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