Hyomin Kim
Papers
2
Total Citations
31
H-Index
2
About
Hyomin Kim is a leading researcher in human-robot interaction (HRI), specializing in control strategies that enable safe, intuitive, and adaptive physical collaboration between humans and robots. Their core contributions center on developing intelligent control frameworks that allow robots to sense and respond to human intention in real time. Kim’s most cited work introduces a variable admittance control method that uses frequency analysis—specifically a discrete Fourier transform-based observer—to distinguish between deliberate, low-frequency human guidance motions and high-frequency disturbances, ensuring both sensitivity and safety during hand-guiding tasks. This work has garnered 21 citations and represents a significant advance in collaborative robotics. In another highly cited paper (10 citations), Kim proposed a weighted hybrid admittance-impedance controller that dynamically estimates human intention to adjust stiffness, overcoming the limitations of using admittance or impedance control alone. These contributions are pivotal for applications in industrial co-robots, rehabilitation devices, and assistive technologies. Kim’s research bridges the gap between theoretical control design and practical, human-aware robotic systems, making them a key figure in the evolution of physically interactive robots.
Research Focus
Key Achievements
Top Papers
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- 2