Papers

20

Total Citations

553

H-Index

7

About

Seung-Nam Yu is a robotics engineer and researcher whose work spans construction automation, industrial robotics, and assistive robotic systems. He is perhaps best known for his groundbreaking contributions to autonomous inspection and construction robotics, most notably his 2006 paper on a mobile robot system for detecting concrete cracks in tunnels, which has accumulated an impressive 357 citations and established him as a pioneer in infrastructure inspection automation. This work demonstrated how mobile robotic platforms could replace dangerous manual inspection tasks in confined, hazardous environments. Yu's research portfolio reflects a strong commitment to bringing robotics into real-world construction and industrial settings. His development of curtain wall installation and glazing robots addressed longstanding safety and efficiency challenges in the building industry, while his investigations into brick-laying robots explored trajectory optimization and feasibility in practical construction scenarios. Beyond construction, Yu made notable contributions to industrial automation through robot palletizing systems featuring heuristic pattern generation and trajectory optimization algorithms. He also ventured into rehabilitation and assistive technology, developing human-robot interfacing methods for upper-extremity wearable robots, and explored machine learning approaches for legged robot terrain classification. Together, his body of work reflects a versatile career dedicated to making robotic systems safer, smarter, and practically deployable across diverse domains.

Research Focus

Key Achievements

7
H-Index
20
Papers
553
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Auto inspection system using a mobile robot for detecting concrete cracks in a tunnel
357 citations · 2006
📈 Most Prolific Year: 2006 (4 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: Hanyang University, Korea Atomic Energy Research Institute, Hansung University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago