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About

Sang-Seok Yun is a robotics researcher whose work focuses on the intersection of human-robot interaction, tele-education, and socially intelligent systems. His most significant contribution is the development of **Engkey**, a tele-education robot (2011, 43 citations), which pioneered the use of robotic avatars for remote teaching, enabling instructors to project their presence into classrooms through a physical robot. Building on this, Yun advanced **easy interface and control systems** for tele-education robots (2013, 27 citations), making these platforms more accessible for non-expert users. His research also addresses critical challenges in social robotics, including a **gaze control model** for selecting interlocutors in multi-person interactions (2016, 13 citations), which uses a hybrid approach combining perceptual cues and social criteria to make robots more natural conversational partners. Additionally, Yun developed a **reliable recovery mechanism** for person-following robots (2017, 11 citations), employing Kalman filters to predict human positions when visual tracking fails. His work on **simultaneous robot service scheduling** for multi-users (2015) further demonstrates his commitment to making robots functional in real-world, crowded environments. With over 98 total citations across his key works, Yun’s contributions are foundational to creating robots that can teach, interact, and assist humans in dynamic social settings.