Papers
2
Total Citations
22
H-Index
2
About
Won Kim is a leading researcher at the intersection of human-robot interaction and artificial intelligence, with a primary focus on assistive robotics for special needs populations and long-horizon task planning. His groundbreaking work on engagement recognition for children with autism spectrum disorder (ASD), detailed in his 2024 paper "Engagnition: A multi-dimensional dataset for engagement recognition of children with autism spectrum disorder" (16 citations), has established a critical foundation for developing interactive technologies that can sense and respond to the cognitive and motor development needs of children with ASD. This multi-dimensional dataset represents a significant contribution to the field, enabling more sophisticated engagement-aware systems. In parallel, Kim has advanced the state of the art in robot manipulation through his work on "Task Planning for Long-Horizon Cooking Tasks Based on Large Language Models" (6 citations), where he addresses the critical challenge of generalization in learnable task planners. By moving beyond traditional symbolic representations, his approach enables robots to handle previously unseen cooking scenarios, demonstrating the practical application of large language models in complex, real-world robotic tasks. His research continues to push boundaries in both assistive technology and autonomous systems.
Research Focus
Key Achievements
Top Papers
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