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About

Jeong-Su Han is a pioneering researcher in rehabilitation robotics and human-robot interaction, with a career dedicated to creating assistive technologies that respond intuitively to human needs. His most influential work centers on the development of the KARES II (KAIST Rehabilitation Engineering Service System), a novel rehabilitation robotic system designed to aid individuals with physical disabilities. Han’s major contribution lies in integrating soft computing techniques—such as fuzzy logic and neural networks—to enable robots to read human intentions and emotions, making interaction more natural and human-friendly. His seminal 2004 paper on KARES II, which has garnered 89 citations, details how these systems combine intention-reading units with user-centered design to improve quality of life. Further works, including his 2003 study on soft computing-based intention reading (16 citations) and 2002 exploration of emotion recognition for service robots (10 citations), underscore his role in advancing human-centered systems. Han’s research has not only influenced rehabilitation robotics but also laid groundwork for intuitive human-robot collaboration in service and industrial settings, such as palletizing operations. His achievements highlight a visionary approach to making robots empathetic partners in daily life.