Sung Min Yoo
Papers
1
Total Citations
14
H-Index
1
About
Sung Min Yoo is a robotics researcher specializing in bipedal locomotion and adaptive control for humanoid robots navigating complex, real-world environments. His key research areas include impedance control, terrain recognition, and robust walking algorithms for uneven surfaces. Yoo’s major contribution is a novel control framework that integrates impedance modulation at the ankle joints with real-time terrain recognition using force sensors embedded in the robot’s soles. This approach allows biped robots to dynamically adjust their gait and stiffness in response to unexpected contact, significantly improving stability on uncertain terrain. His most-cited work, “Biped Robot Walking on Uneven Terrain Using Impedance Control and Terrain Recognition Algorithm” (2018), has garnered 14 citations, reflecting its foundational role in advancing practical, adaptive locomotion. By bridging sensor feedback and control theory, Yoo’s research addresses a critical challenge in humanoid robotics—enabling safe and efficient movement beyond flat, predictable surfaces. His contributions are particularly valuable for applications in disaster response, exploration, and assistive robotics, where adaptability is paramount.
Research Focus
Key Achievements
Top Papers
- 1