Hyun‐Yong Han
Papers
8
Total Citations
119
H-Index
5
About
Hyun‐Yong Han is a pioneering researcher in robotic manipulation, whose work bridges the mechanical properties of human touch with the control of artificial systems. His key research areas include impedance control, iterative learning control, and the biomechanics of human fingertips. Han’s most influential contribution is his 2003 study on the stiffness of human fingertips, which has garnered 47 citations and provides foundational insights for designing robotic fingers capable of dexterous manipulation. He also advanced the field by extending impedance matching to nonlinear robotic dynamics (35 citations), enabling more natural and adaptive physical interactions between robots and their environments. Han’s iterative learning control schemes for impedance control, explored in multiple papers, offer robust methods for robots with soft, deformable fingertips to press against rigid objects with precise force patterns. His work is notable for integrating passivity theory into learning control, ensuring stability and convergence in repetitive tasks. Through these contributions, Han has laid critical groundwork for developing robots that can handle complex, contact-rich tasks with human-like dexterity.
Research Focus
Key Achievements
Top Papers
- 1
- 2Extension of impedance matching to nonlinear dynamics of robotic tasks35 citations · 1999
- 3Iterative learning of impedance control10 citations · 2003
- 4Iterative learning of impedance control from the viewpoint of passivity8 citations · 2000
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- 6
- 7System structure rendering iterative learning convergent4 citations · 2002
- 8