Ki Nam Lee

Mokpo National University

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

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Walking Pattern Tuning System Based on ZMP for Humanoid Robot
5 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Mokpo National University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago