Wearable Robotics
Real-time rehabilitation assistance systems using deep learning to recognize hand motion intentions (Gloves, Exosuits).
View MoreSoft Augmented Intelligence Lab: Bridging physical intelligence and computational power for real-world robotics.
I am an Assistant Professor at DGIST, specializing in Soft Wearable Robotics, Deep Learning, and Human-Robot Interaction.
I am deeply interested in developing wearable robotic technologies that enhance human functional movement and support rehabilitation. In recent years, wearable robots—including exoskeletons and exosuits—have demonstrated significant progress in augmenting and improving human motion through advanced engineering technologies.
However, for these robots to be naturally and effectively used in everyday settings, they must be capable of perceiving their environment and accurately recognizing the user's intentions to provide personalized control. My research aims to bridge this gap by integrating physical intelligence with computational power.
DGIST (Daegu Gyeongbuk Institute of Science and Technology)
Myongji University, Division of Mechanical System Engineering
Seoul National University
KAIST
KAIST
Meet our research team. We are actively looking for motivated members to join SAIL!
Real-time rehabilitation assistance systems using deep learning to recognize hand motion intentions (Gloves, Exosuits).
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Deep learning-based force estimation for soft grippers and wearable robots without external sensors.
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Simulation-to-Real integrated control leveraging physics-based data combined with real-world measurements.
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djwls9453@dgist.ac.kr
Room 409, Building E5,
DGIST, 333 Techno Jungang-daero,
Dalseong-gun, Daegu,
42988, South Korea