Myeong-Ju Kim
Seoul National University, Hyundai Motor Group (South Korea)
Papers
2
Total Citations
11
H-Index
2
About
Myeong-Ju Kim is a leading researcher in humanoid robotics, specializing in robust balance control and sensorless torque estimation. His work focuses on enabling humanoids to achieve human-like stability in real-world environments through advanced control frameworks. Kim's major contributions include the development of a Model Predictive Capture Point Control Framework, which integrates ankle, hip, and stepping strategies to enhance humanoid balancing—a paper that has garnered 7 citations since 2025. Additionally, his MOB-Net project introduces limb-modularized uncertainty torque learning, addressing model uncertainty in momentum observers for sensorless external torque estimation, with 4 citations in 2024. This innovation reduces reliance on physical sensors, improving robot efficiency and durability. Kim's research is pivotal for advancing humanoid mobility, offering practical solutions for dynamic environments. His work not only demonstrates high impact through citation counts but also sets a foundation for future developments in robust robotic systems. Through these achievements, Kim is recognized as a key figure in humanoid robotics, pushing boundaries in control theory and sensorless estimation.
Research Focus
Key Achievements
Top Papers
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- 2