Ubiquitous Robotic Technology for Smart Manufacturing System
Joint Authors
Wang, Wenshan
Zhu, Xiaoxiao
Wang, Liyu
Qiu, Qiang
Cao, Qixin
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-30
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Wenshan& Zhu, Xiaoxiao& Wang, Liyu& Qiu, Qiang& Cao, Qixin. 2016. Ubiquitous Robotic Technology for Smart Manufacturing System. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1099714
Modern Language Association (MLA)
Wang, Wenshan…[et al.]. Ubiquitous Robotic Technology for Smart Manufacturing System. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1099714
American Medical Association (AMA)
Wang, Wenshan& Zhu, Xiaoxiao& Wang, Liyu& Qiu, Qiang& Cao, Qixin. Ubiquitous Robotic Technology for Smart Manufacturing System. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1099714
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099714