Dong-Cheol Lim
Papers
3
Total Citations
20
H-Index
3
About
Dong-Cheol Lim is a robotics researcher whose work focuses on the control and optimization of bipedal walking robots. His major contributions lie in the development of intelligent, learning-based controllers that enable stable, energy-efficient, and repetitive gait patterns. Lim’s research integrates genetic algorithms to minimize energy consumption by optimizing the mass distribution of robot links, and iterative learning control using Fourier series approximation to handle periodic nonlinear load changes without complex dynamic calculations. His most cited papers, including “Implementation of an Intelligent Controller for Biped Walking Robot using Genetic Algorithm and Learning Control” and “A Learning Controller for Gate Control of Biped Walking Robot using Fourier Series Approximation,” each have garnered 8 citations, demonstrating foundational impact in the field. Lim’s work is notable for its practical approach to simplifying control in biped robots, making it highly relevant for students and researchers interested in robotics, machine learning, and adaptive control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A learning controller for repetitive gait control of biped walking robot4 citations · 2004