TY - JOUR
T1 - A state-of-the-art survey on Augmented Reality-assisted Digital Twin for futuristic human-centric industry transformation
AU - Yin, Yue
AU - Zheng, Pai
AU - Li, Chengxi
AU - Wang, Lihui
N1 - Funding Information:
This research work was partially supported by the grants from the National Natural Science Foundation of China (No. 52005424), the General Research Fund (GRF) from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. PolyU 15210222), the Mainland-Hong Kong Joint Funding Scheme (MHX/001/20), Innovation and Technology Commission (ITC), and the Research Committee of The Hong Kong Polytechnic University under Collaborative Departmental General Research Fund (G-UAMS), Hong Kong Special Administrative Region.
Funding Information:
This research work was partially supported by the grants from the National Natural Science Foundation of China (No. 52005424 ), the General Research Fund (GRF) from the Research Grants Council of the Hong Kong Special Administrative Region , China (Project No. PolyU 15210222 ), the Mainland-Hong Kong Joint Funding Scheme (MHX/001/20), Innovation and Technology Commission (ITC), and the Research Committee of The Hong Kong Polytechnic University under Collaborative Departmental General Research Fund (G-UAMS), Hong Kong Special Administrative Region.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/6
Y1 - 2023/6
N2 - The 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.
AB - The 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.
KW - Augmented reality
KW - Digital twin
KW - Human cyber–physical system
KW - Human–machine interaction
KW - Smart manufacturing
UR - http://www.scopus.com/inward/record.url?scp=85145257966&partnerID=8YFLogxK
U2 - 10.1016/j.rcim.2022.102515
DO - 10.1016/j.rcim.2022.102515
M3 - Review article
AN - SCOPUS:85145257966
SN - 0736-5845
VL - 81
JO - Computer Integrated Manufacturing Systems
JF - Computer Integrated Manufacturing Systems
M1 - 102515
ER -