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A comprehensive survey of AR/MR-based co-design in manufacturing

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Abstract

For more than 2 decades, Augmented Reality (AR)/Mixed Reality (MR) has received an increasing amount of attention by researchers and practitioners in the manufacturing community, because it has applications in many fields, such as product design, training, maintenance, assembly, and other manufacturing operations. However, to the best of our knowledge, there has been no comprehensive review of AR-based co-design in manufacturing. This paper presents a comprehensive survey of existing research, projects, and technical characteristics between 1990 and 2017 in the domain of co-design based on AR technology. Among these papers, more than 90% of them were published between 2000 and 2017, and these recent relevant works are discussed at length. The paper provides a comprehensive academic roadmap and useful insight into the state-of-the-art of AR-based co-design systems and developments in manufacturing for future researchers all over the world. This work will be useful to researchers who plan to utilize AR as a tool for design research.

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Notes

  1. http://www.google.com/glass/start.

  2. https://www.microsoft.com.

  3. https://www.daqri.com.

  4. https://zspace.com.

  5. http://www.metavision.com.

  6. https://tortoisesvn.net.

  7. https://developer.vuforia.com.

  8. https://www.opengl.org.

  9. http://trac.openscenegraph.org/projects/osg.

  10. https://www.opencascade.com.

  11. http://artoolkit.org/.

  12. http://www.empathiccomputing.org/.

  13. https://www.empatica.com/e4-wristband.

  14. https://www.leapmotion.com/.

  15. https://developer.microsoft.com/en-us/windows/kinect.

  16. https://www.softkinetic.com/.

  17. https://pupil-labs.com/pupil/.

  18. https://www.tobii.com/.

  19. http://www.eyetracking.com/.

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Acknowledgements

This research was sponsored by the civil aircraft special project (MJZ-2017-G73). Besides, we would like to appreciate the anonymous reviewers for their constructive suggestions for enhancing this paper. Specifically, Mark Billinghurst has checked the English of an early version, and his constructive comments are gratefully acknowledged which have helped the author to improve the paper. Moreover, we thank Dechuan Han and Mengmeng Sun for filtering and downloading papers. We also thank other schoolfellows, including Jinping Chen, Qian Cheng, Li Zhang, Yongxing Chen, Zhuang Chang, Yue Wang, and Xiaokun Zhang for their invaluable discussion, criticism, and advice for further improving this paper.

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  1. Key Laboratory of Contemporary Designing and Integrated Manufacturing Technology, Ministry of Education, Cyber-Physical Interaction Lab, Northwestern Polytechnical University, Xi’an, 710072, China

    Peng Wang, Shusheng Zhang, Mark Billinghurst, Xiaoliang Bai, Weiping He, Shuxia Wang, Mengmeng Sun & Xu Zhang

  2. Empathic Computing Lab, University of South Australia, Mawson Lakes, Australia

    Mark Billinghurst

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  1. Peng Wang
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Wang, P., Zhang, S., Billinghurst, M. et al. A comprehensive survey of AR/MR-based co-design in manufacturing. Engineering with Computers 36, 1715–1738 (2020). https://doi.org/10.1007/s00366-019-00792-3

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