Tae Hoon Lee

About

Tae Hoon Lee is a leading researcher in the field of rehabilitation robotics and lower-limb exoskeleton technology. His work focuses on the critical intersection of biomechanics, neural networks, and human-robot interaction, specifically aimed at improving mobility for individuals with gait impairments. Lee’s major contributions include the development of a neural network-based system for estimating continuous walking angles of the knee and ankle joints, enabling exoskeletons to identify a wearer’s walking intention in real-time—a key challenge for natural movement assistance. He also designed a novel 2-degree-of-freedom ankle exoskeleton featuring a polycentric structure and a bi-directional tendon-driven actuator, controlled by a PID neural network, which enhances both stability and energy efficiency. His research on ankle intention detection using electromyography (EMG) signals further advances the field by calculating user-desired torque from muscle activity, with specific attention to the subtalar joint for stability. With his most-cited papers accumulating over 70 citations, Lee’s work is foundational for creating lightweight, comfortable, and responsive exoskeletons that can significantly improve the quality of life for patients with walking difficulties.

Research Focus

Key Achievements

Top Papers

1. 1
   Estimation of the Continuous Walking Angle of Knee and Ankle (Talocrural Joint, Subtalar Joint) of a Lower-Limb Exoskeleton Robot Using a Neural Network

   35 citations · 2021
2. 2
   Design of a 2DoF Ankle Exoskeleton with a Polycentric Structure and a Bi-Directional Tendon-Driven Actuator Controlled Using a PID Neural Network

   33 citations · 2021
3. 3
   Ankle intention detection algorithm using electromyography signal

   5 citations · 2021

Key Collaborators

Contact & Links