I earned my B.S., M.S., and Ph.D. degrees in Mechanical Engineering from Sogang University, Seoul, South Korea, in 2016, 2018, and 2022, respectively. My academic journey focused on hardware development and control algorithms for gait rehabilitation robots. Our research team achieved medical device certification from the Korea Food and Drug Administration (KFDA), enabling the deployment of rehabilitation robots in six hospitals across Korea. Over three years, we collected medical robotic data from stroke patients and physical therapists, using machine learning and control algorithms to develop and implement an AI-driven therapist for gait rehabilitation.
Core expertise includes Control System Design, Machine Learning, Human-Robot Interaction, Mechanical Design using NX and Solidworks, and developing software in Python, C/C++, Matlab/Simulink, LabVIEW, and ROS.
The AI therapist implements the professional therapist's verbal cues in robot-assisted gait training
The SUBAR robot has been used in
Korea hospitals for gait training of
stroke patients
The AI therapist implements the professional therapist's decision-making in robot-assisted gait training
This video shows a manual of SUBAR's user interface according to motions
A robotic system with visual feedback realizes active-lower limb training
The lower limb exoskeletal robot combines Virtual reality(VR) system
to realize interesting gait training for rehabilitation
The exoskeletal robot assists the user as needed in gait training with visual feedback
The machine learning-based AI system estimates the stroke patient's Borg scale from clinical data and robotics data
Particle swarm optimization for training
the neuro-fuzzy system
Opensim simulation has been conducted to design control algorithms of robots.
Training to reduce software development cost (ROS, Python, Deep learning based on Nvidia Jetson nano).
Made by Yahboom
By using Python, ROS, and Nvidia Jetson board.
Korean
I have developed the control algorithm and user interface of the below robotic systems.