Ki Nam Lee
Papers
2
Total Citations
9
H-Index
2
About
Ki Nam Lee is a robotics researcher whose work centers on the locomotion and control of humanoid robots, with a particular focus on achieving stable, versatile walking patterns. His major contributions lie in the development of practical, tunable systems for bipedal gait generation. In his 2014 paper, Lee introduced a "Walking Pattern Tuning System" based on the Zero Moment Point (ZMP) criterion, a tool designed to simplify the complex programming typically required for humanoid locomotion, allowing for fine adjustments to ensure balance. Building on this foundation, his 2017 work on the child-sized humanoid robot CHARLES2 advanced the field by creating an "Omni-Directional Walking Pattern Generator." This innovation enabled the robot to walk smoothly in any direction while maintaining ZMP stability at the center of the supporting foot. Although his most-cited papers have accumulated approximately 5 and 4 citations respectively, their impact is notable within the specialized domain of humanoid robotics, demonstrating a clear progression from a tuning interface to a fully directional gait controller. Lee’s research provides essential, accessible tools for other roboticists working on stable, adaptive locomotion for humanoid platforms.
Research Focus
Key Achievements
Top Papers
- 1Walking Pattern Tuning System Based on ZMP for Humanoid Robot5 citations · 2014
- 2