Geun Hyeong Lee
Papers
1
Total Citations
12
H-Index
1
About
Geun Hyeong Lee is a robotics researcher whose work focuses on the challenging intersection of nonlinear control, neural networks, and mobile robotic systems. His most influential contribution is the development of a robust control strategy for the mobile inverted pendulum robot (MIPS)—a complex, dynamically unstable system that combines a wheeled mobile robot with an inverted pendulum and two arms. In his highly cited 2009 paper, Lee introduced a Radial Basis Function (RBF) neural network controller to achieve stable balancing and navigation on a horizontal plane, addressing the inherent difficulties of underactuated, nonlinear dynamics. This work has garnered 12 citations, serving as a foundational reference for researchers tackling similar control problems in mobile robotics and mechatronics. Lee’s research is particularly notable for bridging the gap between classical control theory and modern neural network approaches, offering practical solutions for real-world applications such as personal transporters and agile service robots. By demonstrating that neural networks can effectively handle the nonlinearities and uncertainties of inverted pendulum systems, Lee has made a lasting impact on the field of intelligent robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1