Yitaek Kim
Papers
2
Total Citations
15
H-Index
2
About
Yitaek Kim is a pioneering researcher in humanoid robotics, with a specialized focus on dynamic locomotion and athletic performance in real-world environments. His work centers on enabling humanoid robots to execute complex, high-speed maneuvers—specifically, carved turn control for giant slalom skiing on actual snow slopes. Kim’s major contributions include developing gate vision recognition systems that allow a humanoid robot to autonomously navigate a ski course, integrating real-time visual perception with precise balance and turning control. This research bridges the gap between controlled laboratory settings and unstructured outdoor terrains, advancing the field of robot sports and humanoid agility. His most cited paper, “Carved Turn Control with Gate Vision Recognition of a Humanoid Robot for Giant Slalom Skiing on Ski Slopes” (2022), has garnered 11 citations, highlighting its influence in the robotics community. Additionally, his earlier work, “Research on Carved Turns of a Skiing Humanoid Robot on a Real-World Slope” (2018), laid the groundwork for these achievements. Kim’s research is notable for its direct application to robot competitions, such as those inspired by the Pyeongchang Winter Olympics, demonstrating how athletic challenges can drive improvements in robot reaction speed, balance, and autonomy—key capabilities for future humanoid deployment in demanding environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2