Research

HuRI Lab focuses on human-centered wearable robotic systems that closely interact with the human body.

Our research integrates wearable robots, sensing technologies, gait analysis, and control systems to improve human mobility and rehabilitation outcomes.

Wearable Robots for Assistance & Rehabilitation

HuRI Lab focuses on wearable robotic systems for assisting and rehabilitating people with motor impairments.

Our research emphasizes torque-controlled exoskeletons and human-centered system design, aiming to enable safe, intuitive, and effective physical assistance in daily activities and clinical settings.

Building on prior experience in developing wearable robotic prototypes, current work leverages existing robotic platforms to investigate system-level design, control strategies, and experimental validation through laboratory studies and clinical collaborations.

Gait Analysis & Human Motion Understanding

We study human gait and movement patterns using wearable sensing systems to extract clinically meaningful motion information.

Our research addresses gait event detection, spatiotemporal gait parameters, and joint moment estimation, aiming to support both assistive control and quantitative gait assessment.

This line of work bridges robotics, biomechanics, and rehabilitation, enabling motion understanding without relying on large-scale motion capture systems.

Wearable Sensors & Human–Robot Interaction

HuRI Lab designs wearable sensing technologies that enable rich and intuitive interaction between humans and robots.

Our work includes soft and pressure-based sensors, multi-axis force sensing, and wearable interfaces for capturing human intent, contact forces, and muscle activity.

By integrating sensing with interaction design, we aim to create human–robot interfaces that are robust, unobtrusive, and suitable for long-term use in real-world environments.