Soon‐Geul Lee

Kyung Hee University

Papers

44

Total Citations

637

H-Index

14

About

Soon-Geul Lee is a prominent robotics and control systems researcher whose work spans assistive robotics, autonomous mobile robots, and advanced control theory. With a career marked by sustained innovation, Lee has made significant contributions to several intersecting fields that collectively address real-world challenges in human-robot interaction and autonomous systems. Lee's most recognized contribution is his development of the JAIST Active Robotic Walker (JARoW), an assistive robotic system designed to recognize elderly users' gait patterns and respond intelligently to their movement intentions, garnering 67 citations. His work on ball segway systems — exploring hierarchical sliding mode control and backstepping techniques for inherently unstable underactuated robots — reflects deep expertise in nonlinear control theory, with multiple papers accumulating nearly 120 citations combined. His research on coverage path planning for autonomous cleaning and inspection robots, including multi-robot coordination strategies, has shaped how mobile robots efficiently navigate unknown environments, with foundational papers earning between 28 and 46 citations each. Lee also tackled practical industrial challenges, developing vibration suppression methods for hydraulic excavators on elastic terrain. His early work establishing performance evaluation criteria for cleaning robots (2007) demonstrated forward-thinking standardization efforts in service robotics. Across his portfolio, Lee consistently bridges theoretical control engineering with meaningful real-world applications.

Research Focus

Key Achievements

14
H-Index
44
Papers
637
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Walking Intent-Based Movement Control for JAIST Active Robotic Walker
67 citations · 2013
📈 Most Prolific Year: 2020 (8 Papers)
🤝 Key Collaborators: 90
🏛 Institutions: Kyung Hee University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago