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Ubiquitous Robotic Technology for Smart Manufacturing System

As the manufacturing tasks become more individualized and more flexible, the machines in smart factory are required to do variable tasks collaboratively without reprogramming. This paper for the first time discusses the similarity between smart manufacturing systems and the ubiquitous robotic system...

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Detalles Bibliográficos
Autores principales: Wang, Wenshan, Zhu, Xiaoxiao, Wang, Liyu, Qiu, Qiang, Cao, Qixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944091/
https://www.ncbi.nlm.nih.gov/pubmed/27446206
http://dx.doi.org/10.1155/2016/6018686
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author Wang, Wenshan
Zhu, Xiaoxiao
Wang, Liyu
Qiu, Qiang
Cao, Qixin
author_facet Wang, Wenshan
Zhu, Xiaoxiao
Wang, Liyu
Qiu, Qiang
Cao, Qixin
author_sort Wang, Wenshan
collection PubMed
description As the manufacturing tasks become more individualized and more flexible, the machines in smart factory are required to do variable tasks collaboratively without reprogramming. This paper for the first time discusses the similarity between smart manufacturing systems and the ubiquitous robotic systems and makes an effort on deploying ubiquitous robotic technology to the smart factory. Specifically, a component based framework is proposed in order to enable the communication and cooperation of the heterogeneous robotic devices. Further, compared to the service robotic domain, the smart manufacturing systems are often in larger size. So a hierarchical planning method was implemented to improve the planning efficiency. A test bed of smart factory is developed. It demonstrates that the proposed framework is suitable for industrial domain, and the hierarchical planning method is able to solve large problems intractable with flat methods.
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spelling pubmed-49440912016-07-21 Ubiquitous Robotic Technology for Smart Manufacturing System Wang, Wenshan Zhu, Xiaoxiao Wang, Liyu Qiu, Qiang Cao, Qixin Comput Intell Neurosci Research Article As the manufacturing tasks become more individualized and more flexible, the machines in smart factory are required to do variable tasks collaboratively without reprogramming. This paper for the first time discusses the similarity between smart manufacturing systems and the ubiquitous robotic systems and makes an effort on deploying ubiquitous robotic technology to the smart factory. Specifically, a component based framework is proposed in order to enable the communication and cooperation of the heterogeneous robotic devices. Further, compared to the service robotic domain, the smart manufacturing systems are often in larger size. So a hierarchical planning method was implemented to improve the planning efficiency. A test bed of smart factory is developed. It demonstrates that the proposed framework is suitable for industrial domain, and the hierarchical planning method is able to solve large problems intractable with flat methods. Hindawi Publishing Corporation 2016 2016-06-30 /pmc/articles/PMC4944091/ /pubmed/27446206 http://dx.doi.org/10.1155/2016/6018686 Text en Copyright © 2016 Wenshan Wang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Wenshan
Zhu, Xiaoxiao
Wang, Liyu
Qiu, Qiang
Cao, Qixin
Ubiquitous Robotic Technology for Smart Manufacturing System
title Ubiquitous Robotic Technology for Smart Manufacturing System
title_full Ubiquitous Robotic Technology for Smart Manufacturing System
title_fullStr Ubiquitous Robotic Technology for Smart Manufacturing System
title_full_unstemmed Ubiquitous Robotic Technology for Smart Manufacturing System
title_short Ubiquitous Robotic Technology for Smart Manufacturing System
title_sort ubiquitous robotic technology for smart manufacturing system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944091/
https://www.ncbi.nlm.nih.gov/pubmed/27446206
http://dx.doi.org/10.1155/2016/6018686
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AT caoqixin ubiquitousrobotictechnologyforsmartmanufacturingsystem