Stroke Rehabilitation Robotics

Research Description

Alongside human neuromusculoskeletal modelling, we have developed dynamic models and optimal controllers for upper-limb stroke rehabilitation robotic systems, which provide assistive/resistive loads according to patient-specific needs. We are now gamifying the system to enhance patient experience and are using artificial intelligence algorithms to learn patient-specific characteristics. The rehabilitation robotic system is currently being tested at Grand River Hospital.

Student Researchers 

Arash Hashemi
Parya Khoshroo
Reza Sharif Razavian (Alumnus)
Borna Ghannadi (Alumnus)

Keywords and Themes

• Stroke Rehabiliation 
• Physical Human-Robot Interaction 
• Biomechatronic Systems Modelling and Control
• Rehabiliation Robotics 
• Upper-Limb Musculoskeletal Modelling 

     Stroke_1 Stroke_2