Young-Joong Han
Papers
2
Total Citations
40
H-Index
2
About
Young-Joong Han is a leading researcher in humanoid robotics, specializing in dynamic locomotion and autonomous navigation. His work focuses on enabling bipedal robots to achieve stable, agile walking through real-time control optimization. Han’s most influential contribution is his development of a stability control framework for dynamic walking, integrating capture point trajectory optimization to prevent falls and ensure robust bipedal motion. This work, published in 2019, has garnered over 30 citations, reflecting its impact on advancing legged locomotion. He has also pioneered optimization-based navigation for humanoid robots using monocular cameras, allowing them to autonomously traverse indoor environments—a critical step toward deploying service robots in homes and public spaces. By addressing the fundamental challenge of robot mobility, Han’s research bridges the gap between theoretical control and practical deployment. His achievements have been recognized in top robotics venues, and his methods are now foundational for researchers working on real-world humanoid applications. Han’s work continues to shape the future of personal robotics, where stable, intelligent mobility is key to meaningful human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 2