A Deep Learning-enhanced Digital Twin Framework for Improving Safety and Reliability in Human-Robot Collaborative Manufacturing

Wang, Shenglin, Zhang, Jingqiong, Wang, Peng et al. (3 more authors) (2024) A Deep Learning-enhanced Digital Twin Framework for Improving Safety and Reliability in Human-Robot Collaborative Manufacturing. Robotics and computer-integrated manufacturing. 102608. ISSN 0736-5845

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2023 The Authors.
Dates:
  • Published: 1 February 2024
  • Published (online): 16 July 2023
  • Accepted: 28 June 2023
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 20 Jul 2023 10:50
Last Modified: 27 Dec 2024 00:24
Published Version: https://doi.org/10.1016/j.rcim.2023.102608
Status: Published
Refereed: Yes
Identification Number: 10.1016/j.rcim.2023.102608
Open Archives Initiative ID (OAI ID):

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Description: A deep learning-enhanced Digital Twin framework for improving safety and reliability in human–robot collaborative manufacturing

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