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A comprehensive review of augmented reality-based instruction in manual assembly, training and repair

  • Zhuo Wang
  • , Xiaoliang Bai
  • , Shusheng Zhang
  • , Mark Billinghurst
  • , Weiping He
  • , Peng Wang
  • , Weiqi Lan
  • , Haitao Min
  • , Yu Chen
  • University of Shanghai for Science and Technology
  • Cyber-Reality Innovation Center
  • The University of Auckland

科研成果: 期刊稿件文献综述同行评审

146 引用 (Scopus)

摘要

In recent years, the multi-dimensional, multi-faceted, and multi-level applications of augmented reality/mixed reality have attracted more and more attention from researchers in the field of smart manufacturing. However, the disadvantage is that AR interaction cues supporting user cognition have not been fully analyzed and summarized in manual assembly, training and repair. This article reviews the current research status, projects and technical characteristics of manual operation instructions in the past 30 years, and extensively discusses these latest works. It is worth mentioning that this article provides comprehensive academic information for the development of AR-based assembly instructions, thereby providing unique insights for researchers in related fields. In short, it will help researchers designing AR instructions.

源语言英语
期刊论文编号102407
期刊Robotics and Computer-Integrated Manufacturing
78
DOI
出版状态已出版 - 12月 2022
已对外发布

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