Cloud robotics : architecture, challenges and applications

We extend the computation and information sharing capabilities of networked robotics by proposing a cloud robotic architecture. The cloud robotic architecture leverages the combination of an ad-hoc cloud formed by machine-to-machine (M2M) communications among participating robots, and an infrastruct...

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Main Authors: Hu, Guoqiang, Tay, Wee Peng, Wen, Yonggang
Other Authors: School of Computer Engineering
Format: Journal Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/102776
http://hdl.handle.net/10220/16412
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author Hu, Guoqiang
Tay, Wee Peng
Wen, Yonggang
author2 School of Computer Engineering
author_facet School of Computer Engineering
Hu, Guoqiang
Tay, Wee Peng
Wen, Yonggang
author_sort Hu, Guoqiang
collection NTU
description We extend the computation and information sharing capabilities of networked robotics by proposing a cloud robotic architecture. The cloud robotic architecture leverages the combination of an ad-hoc cloud formed by machine-to-machine (M2M) communications among participating robots, and an infrastructure cloud enabled by machine-to-cloud (M2C) communications. Cloud robotics utilizes an elastic computing model, in which resources are dynamically allocated from a shared resource pool in the ubiquitous cloud, to support task offloading and information sharing in robotic applications. We propose and evaluate communication protocols, and several elastic computing models to handle different applications. We discuss the technical challenges in computation, communications and security, and illustrate the potential benefits of cloud robotics in different applications.
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spelling ntu-10356/1027762020-05-28T07:17:22Z Cloud robotics : architecture, challenges and applications Hu, Guoqiang Tay, Wee Peng Wen, Yonggang School of Computer Engineering School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering DRNTU::Engineering::Electrical and electronic engineering We extend the computation and information sharing capabilities of networked robotics by proposing a cloud robotic architecture. The cloud robotic architecture leverages the combination of an ad-hoc cloud formed by machine-to-machine (M2M) communications among participating robots, and an infrastructure cloud enabled by machine-to-cloud (M2C) communications. Cloud robotics utilizes an elastic computing model, in which resources are dynamically allocated from a shared resource pool in the ubiquitous cloud, to support task offloading and information sharing in robotic applications. We propose and evaluate communication protocols, and several elastic computing models to handle different applications. We discuss the technical challenges in computation, communications and security, and illustrate the potential benefits of cloud robotics in different applications. 2013-10-10T07:08:34Z 2019-12-06T21:00:07Z 2013-10-10T07:08:34Z 2019-12-06T21:00:07Z 2012 2012 Journal Article Hu, G., Tay, W. P., & Wen, Y. (2012). Cloud robotics : architecture, challenges and applications. IEEE network, 26(3), 21-28. 0890-8044 https://hdl.handle.net/10356/102776 http://hdl.handle.net/10220/16412 10.1109/MNET.2012.6201212 en IEEE network © 2012 IEEE
spellingShingle DRNTU::Engineering::Computer science and engineering
DRNTU::Engineering::Electrical and electronic engineering
Hu, Guoqiang
Tay, Wee Peng
Wen, Yonggang
Cloud robotics : architecture, challenges and applications
title Cloud robotics : architecture, challenges and applications
title_full Cloud robotics : architecture, challenges and applications
title_fullStr Cloud robotics : architecture, challenges and applications
title_full_unstemmed Cloud robotics : architecture, challenges and applications
title_short Cloud robotics : architecture, challenges and applications
title_sort cloud robotics architecture challenges and applications
topic DRNTU::Engineering::Computer science and engineering
DRNTU::Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/102776
http://hdl.handle.net/10220/16412
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