Cloud robotic architectures: directions for future research from a comparative analysis

Dawarka, Viraj and Bekaroo, Girish ORCID: https://orcid.org/0000-0003-1753-4300 (2018) Cloud robotic architectures: directions for future research from a comparative analysis. Proceedings 2018 International Conference on Intelligent and Innovative Computing Applications. In: ICONIC: MAURICON 2018 International Conference on Intelligent and Innovative Computing Applications, 06-07 Dec 2018, Plaine Magnien, Mauritius. e-ISBN 9781538664773, pbk-ISBN 9781538664780. (doi:10.1109/iconic.2018.8601264)

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Abstract

Advances in robotics and cloud computing have led to the emergence of cloud robotics where robots can benefit from remote processing, greater memory and computational power, and massive data storage. The integration of robotics and cloud computing has often been regarded as a complex aspect due to the various components involved in such systems. In order to address this issue, different studies have attempted to create cloud robotic architectures to simplify representation into different blocks or components. However, limited study has been undertaken to critically review and compare these architectures. As such, this paper investigates and performs a comparative analysis of existing cloud robotic architectures in order to identify key limitations and recommend on the future of cloud robotic architectures. As part of this study, 7 such architectures have been reviewed and compared and results showed limited evaluation of existing architectures in favour of security weaknesses.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 29768
Notes on copyright: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Girish Bekaroo
Date Deposited: 27 May 2020 09:09
Last Modified: 01 Jun 2020 16:31
URI: https://eprints.mdx.ac.uk/id/eprint/29768

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