Cloud robotics platforms: review and comparative analysis
Conference paper
Dawarka, V. and Bekaroo, G. 2018. Cloud robotics platforms: review and comparative analysis. 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC). Mon Tresor, Mauritius 06 - 07 Dec 2018 IEEE. pp. 1-6 https://doi.org/10.1109/ICONIC.2018.8601220
Type | Conference paper |
---|---|
Title | Cloud robotics platforms: review and comparative analysis |
Authors | Dawarka, V. and Bekaroo, G. |
Abstract | Due to the various advantages that the cloud can offer to robots, there has been the recent emergence of the cloud robotics paradigm. Cloud robotics permits robots to unload computing and storage related tasks into the cloud, and as such, robots can be built with smaller on-board computers. The use of cloud-robotics also allows robots to share knowledge within the community over a dedicated cloud space. In order to build-up robots that benefit from the cloud-robotics paradigm, different cloud-robotics platforms have been released during recent years. This paper critically reviews and compares existing cloud robotic platforms in order to provide recommendations on future use and gaps that still need to be addressed. To achieve this, 8 cloud robotic platforms were investigated. Key findings reveal varying underlying architectures and models adopted by these platforms, in addition to different features offered to end-users. |
Conference | 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC) |
Page range | 1-6 |
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 | 26 May 2020 |
Accepted | 15 Sep 2018 |
Output status | Published |
Accepted author manuscript | |
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.2018.8601220 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/8593276/proceeding |
Language | English |
https://repository.mdx.ac.uk/item/88y65
Download files
46
total views43
total downloads1
views this month2
downloads this month