• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2025, Vol. 61 ›› Issue (15): 21-39.doi: 10.3901/JME.2025.15.021

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Research and Application Progress of Human Motion Digital Twin for Human-centric Smart Manufacturing

WANG Baicun1,2, SONG Ci1, YUAN Yixiu1, ZHOU Huiying1,3, BAO Jinsong4, HUANG Sihan5, LIU Weiran6, LIU Tingyu7, RUAN Bing8, TAO Fei6, XIE Haibo1,2, YANG Huayong1,2   

  1. 1. School of Mechanical Engineering, Zhejiang University, Hangzhou 310058;
    2. Institute of Advanced Machines, Zhejiang University, Hangzhou 31106;
    3. Dongfang Electric (Hangzhou) Innovation Institute Co., Ltd., Hangzhou 310011;
    4. College of Mechanical Engineering, Donghua University, Shanghai 201620;
    5. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081;
    6. International Institute for Interdisciplinary and Frontiers, Beihang University, Beijing 100191;
    7. School of Mechanical Engineering, Southeast University, Nanjing 211189;
    8. Automotive Engineering Corporation Co., Ltd., Tianjin 300113
  • Received:2025-03-03 Revised:2025-05-23 Published:2025-09-28

Abstract: In the transition from Industry 4.0 to Industry 5.0, human-centric smart manufacturing(HSM) represents an innovative paradigm in the development of smart manufacturing systems. In the context of HSM, human well-being is recognized as its core value which aims to redefine and reinforce the central role of humans in manufacturing and production processes. Therefore, HSM is promoting the futuristic industry which is human-centric, sustainable, and resilient. Human motion is the key to realizing human movement intentions as well as to promoting the development of HSMs. This work focuses on human motion digital twin(HMDT), reviews its enabling technologies and research advancements, specifically focusing on human motion modeling, perception, and analysis, with an emphasis on their pivotal applications in three dimensions, i.e., unit level, production line level, and workshop level. Through case study, this work illustrates how HMDT facilitates the application of HSM. Finally, the future research directions of HMDT in HSM are outlooked.

Key words: human-centric smart manufacturing, human motion digital twin, human motion representation, human motion perception, human motion analysis, human motion application

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