About

Sooyong Lee is a pioneering robotics researcher whose work spans mobile robot navigation, teleoperation, and human-robot interaction. His most impactful contributions center on localization techniques for autonomous mobile robots, particularly his development of optical flow sensor-based localization (52 citations) and infrared light reflecting landmark systems (33 citations)—methods that enable accurate, cost-effective navigation in indoor environments. Lee has also made significant advances in force-feedback teleoperation, designing pneumatic-actuated master arms and master hands (30 citations) and developing perturbation/correlation methods for force-guided robot assembly (24 citations). His integrated approach to human-robot systems is exemplified by work on humanoid robot control, combining human interfaces, automatic planning, and graphical simulation for robots with over 60 joints. Lee’s research on exoskeleton-type master arms with force reflection further demonstrates his commitment to creating intuitive, responsive teleoperation systems. With a career spanning foundational work in mobile robot localization to advanced human-robot integration, Lee’s contributions have established practical frameworks for personal robots and teleoperated systems that balance autonomy with human control.

Research Focus

Key Achievements

8
H-Index
14
Papers
198
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Mobile Robot Localization Using Optical Flow Sensors
52 citations · 2004
📈 Most Prolific Year: 2002 (5 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Hongik University, Korea Institute of Science and Technology, Texas A&M University, Robotics Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago