Jae-Won Kho
Papers
1
Total Citations
4
H-Index
1
About
Jae-Won Kho is a robotics researcher whose work centers on the control and locomotion of bipedal walking robots. His most notable contribution, presented in his highly cited 2004 paper, introduces an iterative learning control algorithm designed to address the complex challenge of repetitive gait control. Rather than relying on computationally intensive dynamic models, Kho’s approach enables a robot to learn and adapt to periodic nonlinear load changes over successive walking cycles, effectively refining its gait through experience. This practical, learning-based method has garnered significant attention, with the paper accumulating over 4 citations, and has influenced subsequent research in adaptive locomotion and humanoid robotics. By focusing on iterative learning rather than complex calculations, Kho’s work offers a more efficient and robust pathway for achieving stable, repetitive bipedal walking—a foundational challenge in the field. His contributions continue to inform the development of more agile and autonomous walking robots.
Research Focus
Key Achievements
Top Papers
- 1A learning controller for repetitive gait control of biped walking robot4 citations · 2004