Papers
1
Total Citations
10
H-Index
1
About
Luyao Yan is a rising researcher in intelligent manufacturing, with a focused expertise in human-robot collaboration (HRC) and digital twin technologies. Their most cited work, "Human-robot collaboration assembly personalised safety detection method based on digital twin" (2024, 10 citations), addresses a critical bottleneck in smart factories: ensuring worker safety in dynamic, collaborative assembly environments. Yan’s key contribution lies in developing a personalized safety detection method that leverages digital twins to account for individual worker differences and complex assembly conditions—moving beyond one-size-fits-all safety protocols. This work is foundational for making HRC systems both safer and more adaptable in real-world production lines. By integrating real-time monitoring with virtual simulation, Yan’s research directly supports the evolution of Industry 5.0, where human-centricity and resilience are paramount. Though early in their career, Yan’s ability to tackle a high-stakes problem with a novel, personalized approach signals significant potential. Their work is already informing safer, more efficient assembly practices and is essential reading for researchers exploring the intersection of digital twins, safety engineering, and collaborative robotics.
Research Focus
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Top Papers
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