Papers
52
Total Citations
505
H-Index
12
About
Jaehong Kim is a prominent robotics and human-robot interaction researcher whose work sits at the intersection of machine learning, computer vision, and assistive technology. Best known for creating large-scale datasets that fuel intelligent robotic systems, Kim led the development of ETRI-Activity3D (2020, 82 citations), a landmark RGB-D dataset enabling robots to recognize daily activities of elderly users, and AIR-Act2Act (2021, 36 citations), a dataset designed to teach robots non-verbal social behaviors through human interaction examples. His research consistently addresses real-world challenges, from deploying multi-robot systems for hospital logistics (2017, 28 citations) to pioneering elder care robot programs shown to measurably improve cognitive function and reduce depression in institutionalized seniors (2015, 29 citations). Kim's technical breadth is equally impressive, spanning gesture recognition for long-range human-robot interaction, facial emotion recognition, vision-based industrial bin picking, and robotic spatial augmented reality. His sustained focus on socially aware, data-driven robotics — particularly for vulnerable populations — reflects both scientific rigor and genuine societal commitment, making his body of work essential reading for researchers designing the next generation of intelligent, human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Multi-robot task allocation for real-time hospital logistics28 citations · 2017
- 6A study on service robot system for elder care20 citations · 2012
- 7Hybrid Facial Representations for Emotion Recognition16 citations · 2013
- 8Vision-based bin picking system for industrial robotics applications16 citations · 2012
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- 10Building an automated engagement recognizer based on video analysis13 citations · 2014