Papers
5
Total Citations
20
H-Index
3
About
Jong-Il Lee is a pioneering researcher at the intersection of child-robot interaction, tactile sensing, and autonomous systems. His primary contributions lie in developing socially intelligent robots capable of understanding and engaging with children through natural dialogue and emotional expression. Lee’s most cited work (8 citations) introduces a child-centric robot dialogue system that fine-tunes large language models to interpret children’s unique linguistic patterns—syntactic incompleteness, pronunciation quirks, and creative expressions—enabling more natural, empathetic human-robot conversations. He further advances human-machine interaction by designing a 3D contact position estimation system for image-based soft tactile sensors, using printed array markers to enhance robots’ physical sensitivity for applications in healthcare, industry, and interactive robotics. Lee also explores emotional detection in children through a conversational social robot that analyzes drawings and utterances during journaling activities, offering a novel, non-intrusive method for understanding children’s subjective emotions. His work extends to practical domains, including Bayesian network-based reasoning for disaster response robots and multibody dynamics simulations for agricultural robot autonomy. With a growing citation impact, Lee is shaping the future of socially aware, physically responsive robots that can safely and effectively collaborate with humans in diverse real-world settings.
Research Focus
Key Achievements
Top Papers
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