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About

Min Hun Lee is a researcher at the forefront of human-robot interaction and AI-driven rehabilitation technology, with a particular focus on developing intelligent systems to support post-stroke recovery. His work centers on designing, building, and evaluating socially assistive robots and AI coaches capable of monitoring patient exercises, generating personalized corrective feedback, and fostering meaningful social engagement during therapy sessions. Lee's most influential contribution, "Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy" (2022, 57 citations), demonstrates his commitment to iterative, user-centered design by directly engaging both therapists and post-stroke survivors in the development process. His subsequent work on an interactive personalized social robot (2023, 35 citations) further advances this vision, translating research prototypes into clinically relevant tools. Earlier investigations, including his 2020 studies on personalized interaction and corrective feedback (21 citations), laid critical groundwork by addressing the significant challenge of adapting robotic coaching systems to individual patients' varying physical conditions—an often-overlooked limitation of prior approaches. Collectively accumulating over 120 citations, Lee's research bridges artificial intelligence, rehabilitation science, and human-computer interaction, offering promising pathways to extend quality therapeutic support beyond clinical settings and into patients' homes.