Papers
62
Total Citations
2,464
H-Index
23
About
Jinoh Lee is a distinguished robotics and control systems researcher whose work spans advanced robot control theory, humanoid robotics, and human-robot collaboration. His most influential contributions center on time-delay estimation (TDE)-based control frameworks, particularly nonsingular terminal sliding-mode control for robot manipulators, which has garnered over 420 citations and established him as a leading voice in model-free robust control design. By eliminating the need for precise dynamic models, Lee's methods have made high-accuracy, real-time robot control significantly more accessible and practical. Beyond control theory, Lee has made substantial contributions to humanoid robotics through the WALK-MAN platform (266 citations), a high-performance humanoid designed for unstructured real-world environments. His research also addresses flexible-joint humanoids, dual-arm manipulation, multi-legged mobile manipulators, and ergonomic human-robot collaboration—demonstrating remarkable breadth across the field. His 2017 work on anticipatory robot assistance for preventing human joint overloading reflects a growing commitment to safe, human-centric robotics. With cumulative citations well exceeding 1,700, Lee's research has profoundly shaped modern approaches to robust adaptive control and physical human-robot interaction, making his work essential reading for students and practitioners in robotics engineering alike.
Research Focus
Key Achievements
Top Papers
- 1
- 2WALK‐MAN: A High‐Performance Humanoid Platform for Realistic Environments266 citations · 2017
- 3Model-Free Robust Adaptive Control of Humanoid Robots With Flexible Joints211 citations · 2016
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- 8Towards a multi-legged mobile manipulator83 citations · 2016
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