Kang Woong Lee
Papers
7
Total Citations
168
H-Index
4
About
Kang Woong Lee is a robotics and control systems researcher whose work spans adaptive control, robust control, and autonomous mobile robotics. He is best known for his foundational 1997 contribution on adaptive output feedback control of robot manipulators, which introduced a high-gain observer-based framework for estimating joint velocities using only position measurements — a significant advancement for controlling n-link manipulators with unknown payloads. This work has garnered 112 citations, reflecting its lasting influence on the control systems community. Building on this foundation, Lee has developed a series of robust feedback controllers employing dynamic compensation schemes to address parametric uncertainties in robot manipulators, demonstrating consistent improvements in transient response and tracking error convergence. His research has extended into image-based control, integrating visual feedback to handle Jacobian uncertainty — a challenging and practically relevant problem in vision-guided robotics. Lee has also contributed to mobile robotics, investigating real-time obstacle avoidance strategies using limit-cycle methods, vector fields, and sensor fusion combining vision systems with ultrasonic sensing. Across his body of work, Lee has established himself as a versatile contributor to both theoretical control design and practical autonomous systems, with cumulative citations underscoring the breadth of his influence.
Research Focus
Key Achievements
Top Papers
- 1Adaptive output feedback control of robot manipulators using high-gain observer112 citations · 1997
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- 5Robust control of robot manipulators using dynamic compensator4 citations · 2009
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