In stroke rehabilitation, wearable robotic technologies are transforming assistive therapy by enhancing patient mobility and comfort. This project focuses on developing a non-bulky lower limb exoskeleton using soft robotics and smart textile materials, which provides adaptability to the user’s body with its lightweight design. By integrating non-invasive EEG monitoring, the exoskeleton enables real-time feedback and precise adjustments tailored to each user’s rehabilitation needs. The goal is to create an effective, personalized exoskeleton that promotes natural gait patterns and maximizes user comfort, with iterative testing and data-driven optimization guiding refinements in performance, usability, and safety.
Bio-inspired AI, Socially assistive robots, Wearable robotics, Soft robotics, Smart Textiles
MSc Robotics
BEng Mechanical Engineering
Prof. Damien Coyle
Prof. Eamonn O’Neill
Dr. Ioannis Georgilas
