Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101476
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorYin, Yen_US
dc.creatorZheng, Pen_US
dc.creatorLi, Cen_US
dc.creatorWang, Len_US
dc.date.accessioned2023-09-18T02:28:18Z-
dc.date.available2023-09-18T02:28:18Z-
dc.identifier.issn0736-5845en_US
dc.identifier.urihttp://hdl.handle.net/10397/101476-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights© 2022 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Yin, Y., Zheng, P., Li, C., & Wang, L. (2023). A state-of-the-art survey on Augmented Reality-assisted Digital Twin for futuristic human-centric industry transformation. Robotics and Computer-Integrated Manufacturing, 81, 102515 is available at https://doi.org/10.1016/j.rcim.2022.102515.en_US
dc.subjectAugmented realityen_US
dc.subjectDigital twinen_US
dc.subjectHuman cyber–physical systemen_US
dc.subjectHuman–machine interactionen_US
dc.subjectSmart manufacturingen_US
dc.titleA state-of-the-art survey on Augmented Reality-assisted Digital Twin for futuristic human-centric industry transformationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume81en_US
dc.identifier.doi10.1016/j.rcim.2022.102515en_US
dcterms.abstractThe combination of Augmented Reality (AR) and Digital Twin (DT) has begun to show its potential nowadays, leading to a growing research interest in both academia and industry. Especially under the current human-centric trend, AR embraces the potential to integrate operators into the new generation of Human Cyber–Physical System (HCPS), in which DT is a pillar component. Some review articles have focused on this topic and discussed the benefits of combining AR and DT, but all of them are limited to a specific domain. To fill the gap, this research conducts a state-of-the-art survey (till 17-July-2022) from the AR-assisted DT perspective across different sectors of the industrial field, covering a total of 118 selected publications. Firstly, application scenarios and functions of AR-assisted DT are summarized by following the engineering lifecycle, among which production process, service design, and Human–Machine Interaction (HMI) are hot topics. Then, improvements specifically brought by AR are analyzed according to three dimensions, namely virtual twin, hybrid twin, and cognitive twin, respectively. Finally, challenges and future perspectives of AR-assisted DT for futuristic human-centric industry transformation are proposed, including promoting product design, robotic-related works, cyber–physical interaction, and human ergonomics.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationRobotics and computer - integrated manufacturing, June 2023, v. 81, 102515en_US
dcterms.isPartOfRobotics and computer - integrated manufacturingen_US
dcterms.issued2023-06-
dc.identifier.scopus2-s2.0-85145257966-
dc.identifier.eissn1879-2537en_US
dc.identifier.artn102515en_US
dc.description.validate202309 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera2413-
dc.identifier.SubFormID47634-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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