Yuqian Lu

Senior Lecturer in Smart Manufacturing @ UoA

About me

I am a Senior Lecturer in Smart Manufacturing in the Department of Mechanical and Mechatronics Engineering at the University of Auckland in New Zealand. I lead the Industrial AI Research Group.

I am interested in developing translatable intelligent system technologies to transform the workplace into a more efficient, enjoyable, and sustainable environment. His research aims to develop cognitive sensing, reasoning, control, and human interaction technologies with applications to manufacturing and construction.

If you are interested in collaboration or supervision opportunities, please contact me at


Or, you are most welcomed to book a meeting with me via here.

Research Gallery


Selected Publications

  1. RCIM
    Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues
    Y. Lu, C. Liu, K.I.-K. Wang, H. Huang, X. Xu
    Robotics and Computer-Integrated Manufacturing, 2020
  2. J Manuf Syst
    Outlook on human-centric manufacturing towards Industry 5.0
    Y. Lu, H. Zheng, S. Chand, W. Xia, Z. Liu, X. Xu, and 3 more authors
    Journal of Manufacturing Systems, 2022
  3. J Manuf Syst
    Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization
    Z. Qin, Y. Lu
    Journal of Manufacturing Systems, 2021
  4. Engineering
    Humans Are Not Machines—Anthropocentric Human–Machine Symbiosis for Ultra-Flexible Smart Manufacturing
    Y. Lu, J.S. Adrados, S.S. Chand, L. Wang
    Engineering, 2021
  5. Adv. Eng. Inf.
    An end-to-end tabular information-oriented causality event evolutionary knowledge graph for manufacturing documents
    B. Zhou, B. Hua, X. Gu, Y. Lu, T. Peng, Y. Zheng, and 2 more authors
    Advanced Engineering Informatics, 2021
  6. Int J Prod Res
    Semantic-aware event link reasoning over industrial knowledge graph embedding time series data
    B. Zhou, X. Shen, Y. Lu, X. Li, B. Hua, T. Liu, and 1 more author
    International Journal of Production Research, 2023
  7. IEEE Robot. Autom.
    Multi-Agent Reinforcement Learning for Real-Time Dynamic Production Scheduling in a Robot Assembly Cell
    D. Johnson, G. Chen, Y. Lu
    IEEE Robotics and Automation Letters, 2022
  8. J Manuf Syst
    Dynamic production scheduling towards self-organizing mass personalization: A multi-agent dueling deep reinforcement learning approach
    Z. Qin, D. Johnson, Y. Lu
    Journal of Manufacturing Systems, 2023
  9. RCIM
    Human-Robot Shared Assembly Taxonomy: A step toward seamless human-robot knowledge transfer
    R.K.-J. Lee, H. Zheng, Y. Lu
    Robotics and Computer-Integrated Manufacturing, 2024
  10. J Manuf Syst
    Dynamic muscle fatigue assessment using s-EMG technology towards human-centric human-robot collaboration
    S. Chand, A. McDaid, Y. Lu
    Journal of Manufacturing Systems, 2023

all publications