Ki-Baek Lee
Papers
2
Total Citations
4
H-Index
2
About
Ki-Baek Lee is a robotics researcher specializing in bipedal locomotion and humanoid robot control systems. His work centers on developing sophisticated walking pattern generation algorithms that enable robots to navigate complex, real-world environments with greater adaptability and stability. Lee's most notable contributions focus on the modifiable walking pattern generation (MWPG) framework, which addresses one of the fundamental challenges in humanoid robotics: enabling dynamic, responsive movement across varied terrain conditions. His 2016 research introduced a novel walking pattern generator based on the three-dimensional linear inverted pendulum model (LIPM), allowing bipedal robots to traverse uneven terrain with unknown height variations — a critical capability for practical deployment in human environments. Complementing this, his work on handling infeasible navigational commands demonstrates an intelligent approach to real-time command correction, enabling robots to autonomously adjust walking period, step length, and direction when given physically unrealizable instructions. While his citation counts remain modest, reflecting the highly specialized nature of advanced humanoid locomotion research, Lee's technical contributions address genuinely difficult problems at the intersection of control theory, biomechanics, and autonomous navigation — laying groundwork that supports the broader goal of deploying capable, adaptable humanoid robots in everyday human settings.
Research Focus
Key Achievements
Top Papers
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- 2