Papers
1
Total Citations
6
H-Index
1
About
Kwang Ho is a pioneering researcher in human-robot interaction, with a focus on developing intuitive, emotionally resonant communication between humans and machines. His work centers on facial expression imitation systems, where robots can detect, track, and replicate human emotions in real time—a foundational step toward more natural and empathetic robotic companions. His most cited paper, "A Facial Expression Imitation System for the Primitive of Intuitive Human-Robot Interaction" (2007), has garnered 6 citations and addresses key challenges in enabling robots to perceive and mirror human facial cues, integrating capabilities like face detection and expression recognition. Though modest in citation count, this work is notable for its early exploration of affective computing in robotics, laying groundwork for later advances in socially assistive robots and interactive AI. Ho’s contributions are particularly significant for students and researchers interested in bridging the gap between rigid machine logic and the subtle, non-verbal language of human emotion—a critical frontier in making robots truly collaborative partners.
Research Focus
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Top Papers
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