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

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information: © 2023 The Authors.
Dates:
  • Accepted: 28 June 2023
  • Published (online): 16 July 2023
  • Published: 1 February 2024
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: 10 Apr 2024 23:19
Published Version: https://doi.org/10.1016/j.rcim.2023.102608
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.rcim.2023.102608

Download

Published Version

Filename: 1_s2.0_S0736584523000832_main.pdf

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

Licence: CC-BY 2.5

CLICK TO DOWNLOAD [img]

Export

Statistics


CORE (COnnecting REpositories)