Papers

15

Total Citations

785

H-Index

12

About

Dr. Sang Hyun Lee is a leading researcher at the intersection of construction robotics, human-robot collaboration, and artificial intelligence. His work fundamentally addresses the critical challenge of integrating robots safely and effectively onto dynamic construction sites. Dr. Lee’s major contributions include developing immersive virtual environments to enhance perceived safety in human-robot collaboration (185 citations) and pioneering digital twin-driven deep reinforcement learning for adaptive task allocation (127 citations). He has also advanced the field with vision-based marker-less pose estimation systems for articulated construction robots (116 citations) and proximity prediction models to prevent contact-driven accidents (82 citations). His research extends to understanding stakeholder perceptions of robotization (46 citations) and leveraging generative adversarial networks to enable robots to perceive workers’ cognitive load (22 citations). With over 700 total citations across his most-cited works, Dr. Lee’s comprehensive approach—spanning from technical innovations like hybrid DNN training to address data shortages (48 citations) to human-centric studies—positions him as a pivotal figure shaping the future of safe, collaborative, and intelligent robotic construction.

Research Focus

Key Achievements

12
H-Index
15
Papers
785
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
Enhancing perceived safety in human–robot collaborative construction using immersive virtual environments
185 citations · 2018
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: University of Michigan–Ann Arbor, Pennsylvania State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago