Cloud robotic architectures: directions for future research from a comparative analysis
Conference paper
Dawarka, V. and Bekaroo, G. 2018. Cloud robotic architectures: directions for future research from a comparative analysis. 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC). Mon Tresor, Mauritius 06 - 07 Dec 2018 IEEE. pp. 1-7 https://doi.org/10.1109/iconic.2018.8601264
Type | Conference paper |
---|---|
Title | Cloud robotic architectures: directions for future research from a comparative analysis |
Authors | Dawarka, V. and Bekaroo, G. |
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. |
Keywords | Cloud-Robotic Architectures; Robotics; Cloud Computing; Comparative Analysis; RaaS |
Conference | 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC) |
Page range | 1-7 |
Proceedings Title | 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC) |
ISBN | |
Electronic | 9781538664773 |
Electronic | 9781538664766 |
Paperback | 9781538664780 |
Publisher | IEEE |
Publication dates | |
07 Dec 2018 | |
Online | 07 Jan 2019 |
Publication process dates | |
Deposited | 27 May 2020 |
Accepted | 15 Sep 2018 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | © 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. |
Digital Object Identifier (DOI) | https://doi.org/10.1109/iconic.2018.8601264 |
Web of Science identifier | WOS:000458689200079 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/8593276/proceeding |
Language | English |
https://repository.mdx.ac.uk/item/88y62
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