Research Focus
Human-State-Aware Robot Partner Systems for Smart Living and Assistive Robotics
시선·제스처·생활문맥을 통해 사용자의 상태를 이해하고, 스마트 생활공간에서 적응적으로 지원하는 인간중심 로봇시스템을 연구합니다.
視線・ジェスチャ・生活文脈からユーザ状態を理解し，スマート生活空間で適応的な支援を行う人間中心ロボットシステムを研究しています。
Current Position
Associate Professor (부교수, 准教授),
Department of Mechanical Engineering,
Faculty of Engineering,
Tokyo University of Technology
Biography
Jinseok Woo received the B.Eng. degree from Kumoh National Institute of Technology, Republic of Korea, in 2009, and the M.Eng. and Dr.Eng. degrees from Tokyo Metropolitan University, Japan, in 2011 and 2017, respectively. He subsequently worked as a Research Assistant Professor at Tokyo Metropolitan University. In 2019, he joined the Department of Mechanical Engineering, School of Engineering, Tokyo University of Technology, Japan, as an Assistant Professor. Since 2025, he has been serving as an Associate Professor at the same university.
He received the Excellent Paper Award at the 22nd Intelligent System Symposium on Fuzzy, Artificial Intelligence, Neural Networks, and Computational Intelligence, Japan, in 2012; the Best Presentation Award at the International Conference on Fuzzy Theory and Its Applications, Republic of Korea, in 2018; the Best Presentation Award at the Joint 11th International Conference on Soft Computing and Intelligent Systems and the 21st International Symposium on Advanced Intelligent Systems in 2020; and the Best Presentation Award at the 24th International Symposium on Advanced Intelligent Systems. He was also honored with the Best Teacher Award at Tokyo University of Technology in 2025.
His current research interests include human-centric intelligent systems, human–robot interaction, mechatronics, robotics, computational intelligence, smart environments, mixed reality, rehabilitation, and elderly care systems. In particular, his research focuses on understanding human states from nonverbal cues, such as gaze, gestures, posture, and contextual information, and applying this understanding to the development of adaptive robotic partners and human-friendly support systems.
