Jeong Woo Park
Papers
7
Total Citations
89
H-Index
5
About
Jeong Woo Park is a robotics and human-robot interaction (HRI) researcher whose work centers on enabling robots to communicate more naturally and expressively with humans. His research spans robot facial expression generation, multimodal emotional communication, and motion-based emotion representation — areas critical to making robots genuinely socially capable. Park's most recognized contribution, "Generation of Realistic Robot Facial Expressions for Human Robot Interaction" (2014, 25 citations), advances the field by bringing human-like authenticity to robotic faces. Complementing this, his 2008 work on color and blinking modalities (23 citations) demonstrated that emotional intensity in robots need not rely on facial expression alone, opening pathways for richer multimodal communication. His 2013 paper leveraging Laban Movement Analysis with RGB-D cameras (18 citations) further expanded this vision to whole-body emotional motion, bridging dance theory and robotics in a notably creative way. Across his body of work, Park has also explored emotion generation models grounded in concepts like homeostasis and entropy, reflecting a systems-thinking approach to robot cognition. With over 89 cumulative citations, his research meaningfully advances the goal of socially intelligent robots capable of nuanced, human-readable emotional expression — foundational work for anyone studying affective computing or social robotics.
Research Focus
Key Achievements
Top Papers
- 1Generation of Realistic Robot Facial Expressions for Human Robot Interaction25 citations · 2014
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- 3LMA based emotional motion representation using RGB-D camera18 citations · 2013
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