Keon Young Yi
Papers
8
Total Citations
107
H-Index
5
About
Keon Young Yi is a pioneering researcher in bipedal robotics and human-robot interaction, best known for advancing locomotion systems that mimic human biomechanics. His most influential work, "Reinforcement learning for a biped robot to climb sloping surfaces" (52 citations), introduced a neural network mechanism enabling robots to adapt gaits to inclined terrains without prior knowledge—a foundational contribution to adaptive walking. Yi further explored energy-efficient design in "Biped locomotion by reduced ankle power" (23 citations), demonstrating how compliant, low-torque ankle joints improve stability and natural foot landing, inspired by human physiology. His development of the KUBCA platform, featuring spring-based compliant ankles, produced a series of papers (2002) that collectively shaped soft robotics for legged machines. Beyond bipedal research, Yi contributed to assistive technology with a user-steered guide robot for the blind (2009) and a task-based control architecture for personal robots (2004), broadening robotics’ societal impact. With over 100 total citations, his work bridges theoretical control and practical implementation, influencing both humanoid robotics and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1Reinforcement learning for a biped robot to climb sloping surfaces52 citations · 1997
- 2Biped locomotion by reduced ankle power23 citations · 2002
- 3Locomotion of a biped robot with compliant ankle joints9 citations · 2002
- 4
- 5Biped Locomotion by Reduced Ankle Power6 citations · 1997
- 6A new task-based control architecture for personal robots4 citations · 2004
- 7A user-steered guide robot for the blind4 citations · 2009
- 8