Eung Chang Lee
Papers
1
Total Citations
11
H-Index
1
About
Eung Chang Lee is a robotics researcher whose work focuses on enhancing the autonomy and adaptability of wheeled mobile robots in real-world indoor environments. His key contributions lie in the areas of robot-environment interaction, particularly in identifying floor surface types to improve locomotion efficiency and odometry accuracy. In his most cited work, "Floor-types identification method for wheel robot using impedance variation" (2008, 11 citations), Lee addresses a critical yet often overlooked challenge: the way different floor surfaces—such as wood, carpet, and marble—affect a robot’s movement through slip and energy loss. By developing a method to detect these variations using impedance changes, he enables robots to adapt their control strategies on the fly, reducing odometry errors and optimizing energy consumption. This work has practical implications for service robots, cleaning robots, and autonomous guided vehicles operating in complex indoor spaces. Lee’s research bridges the gap between sensor-based perception and adaptive locomotion, offering a foundational approach to making wheeled robots more resilient and intelligent in unstructured, multi-surface environments.
Research Focus
Key Achievements
Top Papers
- 1Floor-types identification method for wheel robot using impedance variation11 citations · 2008