Cloud robotics: Current status and open issues

Wan, J; Tang, S; Yan, H; Li, D; Wang, S; Vasilakos, AV

Cloud robotics: Current status and open issues

Wan, J Tang, S Yan, H Li, D Wang, S Vasilakos, AV

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Access, 2016, 4, pp. 2797-2807
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Wan, J
dc.contributor.author	Tang, S
dc.contributor.author	Yan, H
dc.contributor.author	Li, D
dc.contributor.author	Wang, S
dc.contributor.author	Vasilakos, AV
dc.date.accessioned	2022-08-10T20:37:22Z
dc.date.available	2022-08-10T20:37:22Z
dc.date.issued	2016-01-01
dc.identifier.citation	IEEE Access, 2016, 4, pp. 2797-2807
dc.identifier.issn	2169-3536
dc.identifier.issn	2169-3536
dc.identifier.uri	http://hdl.handle.net/10453/159852
dc.description.abstract	With the development of cloud computing, big data, and other emerging technologies, the integration of cloud technology and multi-robot systems makes it possible to design multi-robot systems with improved energy efficiency, high real-time performance, and low cost. In order to address the potential of clouds in enhancing robotics for industrial systems, this paper describes the basic concepts and development process of cloud robotics and the overall architecture of these systems. Then, the major driving forces behind the development of cloud robotics are carefully analyzed from the point of view of cloud computing, big data, open source resources, robot cooperative learning, and network connectivity. Subsequently, the key issues and challenges in the current cloud robotic systems are proposed, and some possible solutions are also given. Finally, the potential value of cloud robotic systems in different practical applications is discussed.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Access
dc.relation.isbasedon	10.1109/ACCESS.2016.2574979
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.title	Cloud robotics: Current status and open issues
dc.type	Journal Article
utslib.citation.volume	4
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-10T20:37:18Z
pubs.publication-status	Published
pubs.volume	4

Abstract:

With the development of cloud computing, big data, and other emerging technologies, the integration of cloud technology and multi-robot systems makes it possible to design multi-robot systems with improved energy efficiency, high real-time performance, and low cost. In order to address the potential of clouds in enhancing robotics for industrial systems, this paper describes the basic concepts and development process of cloud robotics and the overall architecture of these systems. Then, the major driving forces behind the development of cloud robotics are carefully analyzed from the point of view of cloud computing, big data, open source resources, robot cooperative learning, and network connectivity. Subsequently, the key issues and challenges in the current cloud robotic systems are proposed, and some possible solutions are also given. Finally, the potential value of cloud robotic systems in different practical applications is discussed.

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http://hdl.handle.net/10453/159852