A state-of-the-art survey on Augmented Reality-assisted Digital Twin for futuristic human-centric industry transformation

Yue Yin, Pai Zheng, Chengxi Li, Lihui Wang

Research output: Journal article publicationReview articleAcademic researchpeer-review

50 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number102515
Number of pages21
JournalRobotics and Computer-Integrated Manufacturing
Volume81
DOIs
Publication statusPublished - Jun 2023

Keywords

  • Augmented reality
  • Digital twin
  • Human cyber–physical system
  • Human–machine interaction
  • Smart manufacturing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • General Mathematics
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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