Papers
10
Total Citations
113
H-Index
5
About
Daijin Kim is a pioneering researcher in human-robot interaction and intelligent robotics, with a focus on enabling robots to perceive and respond to human gestures, sounds, and presence. His most influential work includes the development of "Engkey," a tele-education robot (43 citations), which demonstrates his commitment to applying robotics in real-world educational settings. Kim has made significant contributions to gesture recognition, particularly in understanding musical conducting patterns for robot orchestras (32 citations), using only stereo vision to interpret time patterns and tempos. He has also advanced multimodal perception through audio-video integration for sound source localization in reverberant environments (12 citations), enhancing how service robots interact naturally with humans. His research extends to multi-robot localization using Bayesian multidimensional scaling (7 citations) and multi-pose face detection for assistive "silver robots" (3 citations), addressing challenges in cooperative robotics and elderly care. With a portfolio spanning gesture, face, and head tracking, as well as manipulator motion planning, Kim’s work has laid foundational techniques for robots to operate autonomously and interactively in human-centered environments, earning him recognition as a key contributor to the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1Engkey: Tele-education Robot43 citations · 2011
- 2Hand Gesture Recognition To Understand Musical Conducting Action32 citations · 2007
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- 4Bayesian Multidimensional Scaling for Multi-Robot Localization7 citations · 2008
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- 7Multi-pose face detection for silver robots3 citations · 2013
- 8Real-time 3D Head Tracking and Head Gesture Recognition3 citations · 2007
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