Jang Myung Lee
Papers
15
Total Citations
424
H-Index
10
About
Jang Myung Lee is a prominent robotics and control systems researcher whose work spans mobile robot navigation, advanced nonlinear control theory, and human-robot interaction. Best known for his contributions to sliding mode control and prescribed performance control, Lee has developed sophisticated frameworks that guarantee precise tracking behavior in complex, nonlinear dynamic systems. His 2009 work on RFID-guided mobile robot trajectory tracking (96 citations) and force-reflection teleoperation (92 citations) established him as a leading voice in intelligent robot navigation and remote operation. Lee's influential 2013 research on prescribed performance constraint control using backstepping and adaptive fuzzy techniques (95 citations) introduced innovative virtual variable formulations that confine tracking errors within predefined boundaries, a significant theoretical advancement. His further contributions include barrier Lyapunov function-based sliding mode control for robot manipulators and adaptive compensation strategies for real-world actuator imperfections such as friction and deadzone nonlinearities. Early work on Internet-based control transmission modeling and sensor data fusion for autonomous navigation reflects the breadth of his career. With multiple papers exceeding 90 citations and consistent output across two decades, Lee has meaningfully shaped modern robotics control research.
Research Focus
Key Achievements
Top Papers
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- 4Transmission modeling and simulation for Internet-based control33 citations · 2002
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- 8Applications of moving windows technique to autonomous vehicle navigation14 citations · 2005
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- 10A new approach using sensor data fusion for mobile robot navigation10 citations · 2004