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Sustainability, scalability, and sensor discovery with cloud robotics

Citation

D'Este, CE and Sharman, C and Dutta, R and Morshed, A and Lethbridge, J and Terhorst, A and Howell, B, Sustainability, scalability, and sensor discovery with cloud robotics, Proceedings of Australasian Conference on Robotics and Automation, 2-4 December 2013, Sydney, Australia, pp. 250-258. ISBN 978-1-63266-027-5 (2013) [Refereed Conference Paper]


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Official URL: http://www.robotics.unsw.edu.au/acra2013/

Abstract

Ongoing robotic systems are primarily undertaken by large organisations and are closed systems. We describe an extension to the cloud robotics concept that encourages reuse of sensor data collected from robots and sensor networks, and eases the economic and technical burden on small industry and government organisations. This paper describes the innovations currently in development by CSIRO that contribute to improved sustainability, scalability and sensor discovery in robotics using a cloud based data management system. Sensor Web and Linked Open Data principles are implemented to provide standardised interfaces to data sharing and robot tasking.

Item Details

Item Type:Refereed Conference Paper
Keywords:sustainability, scalability, sensor discovery, cloud robotics
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Expert Systems
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Technology
Author:Lethbridge, J (Ms Jessica Lethbridge)
ID Code:116680
Year Published:2013
Deposited By:Engineering
Deposited On:2017-05-16
Last Modified:2017-06-21
Downloads:0

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