Digital Twins for Human-Robot Collaboration: A Future Perspective
Mohamad Shaaban, Alessandro Carf\`i, and Fulvio Mastrogiovanni

TL;DR
This paper reviews the current state and future potential of digital twins in human-robot collaboration, highlighting their ability to enhance system efficiency through real-time simulation and monitoring.
Contribution
It provides a comprehensive review and future perspective on integrating digital twins into human-robot collaboration systems, emphasizing their benefits and challenges.
Findings
Digital twins can improve real-time monitoring and control in HRC.
Integration of DT can increase efficiency and effectiveness of HRC systems.
Challenges include technical complexity and implementation costs.
Abstract
As collaborative robot (Cobot) adoption in many sectors grows, so does the interest in integrating digital twins in human-robot collaboration (HRC). Virtual representations of physical systems (PT) and assets, known as digital twins, can revolutionize human-robot collaboration by enabling real-time simulation, monitoring, and control. In this article, we present a review of the state-of-the-art and our perspective on the future of digital twins (DT) in human-robot collaboration. We argue that DT will be crucial in increasing the efficiency and effectiveness of these systems by presenting compelling evidence and a concise vision of the future of DT in human-robot collaboration, as well as insights into the possible advantages and challenges associated with their integration.
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Taxonomy
TopicsDigital Transformation in Industry · Flexible and Reconfigurable Manufacturing Systems · Manufacturing Process and Optimization
