Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/111773
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Title: Industrial Metaverse : a proactive human-robot collaboration perspective
Authors: Li, S 
Xie, HL
Zheng, P 
Wang, L
Issue Date: Oct-2024
Source: Journal of manufacturing systems, Oct. 2024, v. 76, p. 314-319
Abstract: Human-centricity, sustainability, and resilience are becoming core values in modern manufacturing, with human–robot collaboration (HRC) in high demand for flexible automation. However, human–robotic swarms are typically designed to target one specific procedure and cannot fully share their autonomy. The Metaverse, characterized by socialized avatars in a virtual-physical fused world, holds the promise of Proactive HRC. In line with this evolutionary roadmap, this paper presents a futuristic perspective on the industrial Metaverse for Proactive HRC and identifies its six embodiments. A representative universe that supports online and offline human users/operators in the design, machining, and maintenance of aeroengine turbine blades is introduced to spark and accelerate future implementation of the industrial Metaverse for Proactive HRC. The current challenges and future opportunities of this paradigm are also highlighted. It is hoped that this work can attract further investigation and discussions, providing useful insights to both academic and industrial practitioners in smart manufacturing.
Keywords: Human-centric manufacturing
Human–robot collaboration
Industrial Metaverse
Smart manufacturing
Publisher: Elsevier Ltd
Journal: Journal of manufacturing systems 
ISSN: 0278-6125
EISSN: 1878-6642
DOI: 10.1016/j.jmsy.2024.08.003
Rights: © 2024 The Author(s). Published by Elsevier Ltd on behalf of The Society of Manufacturing Engineers. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
The following publication Li, S., Xie, H.-L., Zheng, P., & Wang, L. (2024). Industrial Metaverse: A proactive human-robot collaboration perspective. Journal of Manufacturing Systems, 76, 314-319 is available at https://doi.org/10.1016/j.jmsy.2024.08.003.
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