Heon‐Hui Kim
Papers
7
Total Citations
84
H-Index
5
About
Heon-Hui Kim is a leading researcher in robotics and human-robot interaction, whose work bridges the gap between autonomous systems and intuitive user control. His research focuses on three key areas: vision-based object recognition, environmental mapping for mobile robots, and gesture-based interaction systems. Kim’s most impactful contribution is his work on robust elevator button recognition, achieving 34 citations by solving the challenging problems of partial occlusion and specular reflections from mirror-like surfaces—enabling robot arms to operate in real-world, cluttered environments. He also pioneered the use of low-cost infrared range-finder sensors combined with neural networks for high-accuracy environmental mapping, a methodology that has garnered over 30 citations and advanced affordable autonomous navigation. In human-robot interaction, Kim developed text-to-gesture systems for natural robotic communication and immersive teleconference systems using head-tracking devices. His innovative eye-in-hand device for hand gesture recognition, which ensures the target hand remains in view, demonstrates his commitment to practical, user-friendly robotics. With a career spanning from foundational sensor fusion to cutting-edge interaction design, Kim’s work continues to influence both academic research and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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- 7An eye-in-hand deice for hand gesture-based human-robot interaction2 citations · 2012