Papers
2
Total Citations
86
H-Index
2
About
Dr. Guofu Luo is a leading researcher at the forefront of intelligent manufacturing, specializing in Human-Robot Collaboration (HRC) and digital twin technology. His work directly addresses the critical safety challenges that arise when humans and robots work side-by-side in complex assembly environments. Luo’s major contribution is the development of a novel framework for cooperative safe control, which leverages digital twins to create real-time, predictive safety models. His most-cited paper, "A framework and method for Human-Robot cooperative safe control based on digital twin" (2022), has garnered 76 citations, establishing a foundational approach in the field. Building on this, his 2024 work introduces a personalised safety detection method that accounts for individual worker differences, further refining the safety protocols in HRC assembly. By integrating digital twins with adaptive safety systems, Luo is not only advancing the theoretical understanding of human-robot interaction but also providing practical solutions that are essential for the next generation of smart factories. His research is instrumental in making collaborative manufacturing both efficient and safe.
Research Focus
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Top Papers
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