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

PaperCitations, authors & open-access status

A deep learning-enhanced Digital Twin framework for improving safety and reliability in human–robot collaborative manufacturing is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 153 citations, 2023 year and hybrid oa status.

153
Citations
2023
Year
hybrid
OA Status

Related on ScholarIQ

Peng Wang
Author
Robotics and Computer-Integrated Manufacturing
Journal
Digital Transformation in Industry
Topic
Digital Transformation in Industry
Topic
Robot Manipulation and Learning
Topic
Manufacturing Process and Optimization
Topic
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