Papers
16
Total Citations
105
H-Index
7
About
Woo‐han Yun is a leading researcher in intelligent robotics, with a primary focus on human-robot interaction, computer vision, and autonomous navigation. His work has significantly advanced how robots perceive and respond to humans, particularly through facial expression recognition, person-following, and object manipulation. Yun’s most cited paper, “Fast Group Verification System for Intelligent Robot Service” (2007, 19 citations), laid foundational work for personalized robot services. He has made major contributions to emotion recognition, developing hybrid facial representations and multi-view recognition methods that enable robots to interpret human affect in real-world settings. His research on real-time visual target tracking using RGB-D data (2014) and person-following with obstacle avoidance (2010) has been instrumental in creating safer, more responsive service robots. Notably, Yun’s recent work on evaluating human-care robot services for the elderly (2024, 7 citations) addresses pressing societal challenges, demonstrating the practical impact of his research. With a career spanning sound source tracking, posture analysis for children, and tiny face detection, Yun’s diverse portfolio underscores his commitment to making robots more perceptive, interactive, and beneficial in everyday life.
Research Focus
Key Achievements
Top Papers
- 1Fast Group Verification System for Intelligent Robot Service19 citations · 2007
- 2Hybrid Facial Representations for Emotion Recognition16 citations · 2013
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- 8Analysis of children's posture for the bodily kinesthetic test6 citations · 2015
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- 10Tiny Frontal Face Detection for Robots5 citations · 2010