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A generic and modul...
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Lu, XinDepartment of Computing and Informatics, Bournemouth University, United Kingdom
(författare)
A generic and modularized Digital twin enabled human-robot collaboration
- Artikel/kapitelEngelska2022
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IEEE,2022
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LIBRIS-ID:oai:DiVA.org:his-22311
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https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-22311URI
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https://doi.org/10.1109/ICEBE55470.2022.00021DOI
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Språk:engelska
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Sammanfattning på:engelska
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© 2022 IEEEThis research was supported by the Knowledge Foundation (KKS, Sweden, through virtual Factory with Knowledge Driven Optimization (VF-KDO) project, EU FoF-06-2014 SYMBIO-TIC project (No.637107) and Natural Science Foundation of China (grant no. 61803169) and the Fundamental Research Funds for the Central Universities (grant no. 2662018JC029).
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Recently, the manufacturing paradigm shifts from mass production to mass customization, which results in urgently demands for the development of intelligent, flexible and automatic manufacturing systems for handling complex manufacturing tasks with high efficiency. The use of collaborative robots, an essential enabling technology for developing human-robot collaboration (HRC), is on the rise for human-centric intelligent automation design. An effective virtual simulation platform, which can continuously simulate and evaluate HRC performance in different working scenarios, is lacking in developing an HRC system in a sophisticated industrial arena. This paper presents a generic and modularized digital twin enabled HRC framework based on the synergy effect of human, robotic and environment-related factors to provide a flexible, compatible, re-configurable solution to ease the implementation of HRC in the real world. The feasibility of the proposed framework is validated through the practical implementation of a food packaging job, which involves a human operator and an ABB robotic arm collaboratively working together, on an industrial shop.
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Li, XiaoxiaCollege of Informatics, Huazhong Agricultural University, Wuhan, China
(författare)
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Wang, WeiHögskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Virtual Manufacturing Processes (VMP) ; Production and Automation Engineering(Swepub:his)wanw
(författare)
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Chao, Kuo-MingDepartment of Computing and Informatics, Bournemouth University, United Kingdom
(författare)
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Xu, LaiBournemouth University, Department of Computing and Informatics, Bournemouth, United Kingdom
(författare)
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De Vrieze, PaulDepartment of Computing and Informatics, Bournemouth University, United Kingdom
(författare)
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Jing, YanguoFaculty of Business, Computing and Digital Industries, Leeds Trinity University, United Kingdom
(författare)
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Department of Computing and Informatics, Bournemouth University, United KingdomCollege of Informatics, Huazhong Agricultural University, Wuhan, China
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Proceedings 2022 IEEE International Conference on e-Business Engineering ICEBE 2022: IEEE, s. 66-7397816654924479781665492454
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