Min Cheol Lee
Papers
111
Total Citations
1,653
H-Index
19
About
Min Cheol Lee is a prominent robotics researcher whose work spans mobile robot navigation, robot manipulator control, surgical robotics, and advanced control theory. He is perhaps best known for his foundational contributions to artificial potential field (APF) based path planning, where his early papers addressed the persistent challenge of local minima — a critical flaw that could trap robots before reaching their targets. His 2004 proposal of a virtual obstacle concept (197 citations) and his 2002 integration of simulated annealing into APF methods (164 citations) became landmark references in autonomous navigation research. Beyond navigation, Lee has made significant strides in control systems for complex robotic manipulators. His development of fractional-order terminal sliding mode control with sliding perturbation observers (FOTSMCSPO) demonstrated highly precise trajectory tracking for 7-DOF robots, while his sensorless force estimation techniques have found compelling application in surgical robotics — enabling safer, more responsive instruments without relying on physical sensors. His 2020 work on real-time inverse kinematics with collision avoidance (103 citations) further highlights his continued relevance in cutting-edge robotics. With multiple high-impact publications bridging theoretical control design and practical robotic systems, Lee's career exemplifies rigorous, application-driven engineering research.
Research Focus
Key Achievements
Top Papers
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- 5Intelligent Optimal Control of Single-Link Flexible Robot Arm94 citations · 2004
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- 10Design of bilateral control for force feedback in surgical robot28 citations · 2015