Restoring Independence Through Advanced Grip Technology
ExoGrasp is a soft robotic glove that assists users to grasp and hold objects using pneumatic actuated muscles, controlled by advanced machine learning algorithms.
Addressing a Global Health Challenge
Stroke affects millions worldwide, leaving many with limited hand function and independence.
Current solutions are often bulky, expensive, or require extensive professional assistance, leaving many without effective options for regaining independence.
Advanced Assistive Technology
ExoGrasp combines soft robotics, machine learning, and biomechanics to restore hand function.
Restoring Independence & Dignity
ExoGrasp provides more than just physical assistance—it empowers users to reclaim their daily lives.
Enhanced Grip Strength
Provides the additional force needed to grasp and hold objects securely without excessive exertion.
Intuitive Control
Responds to natural muscle signals, making the device feel like a natural extension of the user's hand.
Comfortable Design
Soft, lightweight materials ensure all-day wearability without discomfort or skin irritation.
Rehabilitation Support
Assists in rehabilitation exercises, potentially accelerating recovery through consistent, guided movement.
Daily Independence
Enables users to perform essential daily tasks without constant assistance from caregivers.
Data-Driven Insights
Tracks progress and usage patterns, providing valuable information for users and healthcare providers.
Mechatronics Engineers from the University of Waterloo
Our team of engineers is dedicated to developing cutting-edge robotic solutions for assistive technology.
Nathan Bellsmith
Electrical Design
Nathan specializes in electronics and circuit design, developing high-performance and low-power electronic systems.
Megan Chang
System Integration & Machine Learning
Megan works on integrating mechanical, electrical, and software components, as well as developing AI-driven solutions for future project development.
Devshi Perera
Mechanical Design
Devshi focuses on mechanical design, ensuring a robust wearable device with lightweight pneumatic actuators optimized for user interaction.
Relja Vojvodic
Software & Control Systems
Relja specializes in control systems and embedded programming, developing intelligent algorithms for robotics applications.
Seyon Yogendran
Software & Control Systems
Seyon specializes in control systems and embedded programming, developing intelligent algorithms for robotics applications.
Supporting Our Innovation
We are grateful to our sponsors for supporting our mission to develop advanced assistive technology.
