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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 |
| Research Field: | Knowledge representation and reasoning |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding knowledge |
| Objective Field: | Expanding knowledge in the environmental sciences |
| UTAS 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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