Optimal Bio-Inspired Design of Holistic Rehabilitation Systems FRP

Our Focus

The goal of the Optimal Bio-Inspired Design of Holistic Rehabilitation Systems FRP is to develop optimal bio-inspired methods and hardware design for seamlessly integrated human-robot systems, particularly for supporting rehabilitation and individuals with physical impairments. This research team will develop a theory-informed software and hardware framework for adaptive systems that enable efficient, safe, and intuitive wearable robots for broad mobility assistance across users, tasks, environmental conditions, and disabilities.

Focused Research Program led by

  • Eshed Ohn-Bar, Assistant Professor, Electrical and Computer Engineering, College of Engineering
  • Alex Olshevsky, Associate Professor, Electrical and Computer Engineering and Systems Engineering, College of Engineering

Research Thrusts

1. Optimal and Efficient Reinforcement Learning (RL) from Humans

This thrust addresses convergence issues in current deep RL methods based on large non-linear models to enable robust application to real-world human-machine interfaces.

2. Customizable Mobility Systems for Neuromotor Rehabilitation

This thrust addresses patient-in-the-loop experimental data collection to perform system identification while evaluating the real-world benefits of the proposed adaptive approach across diverse users and environments.

3. Bio-Inspired Design of Soft Robots with Enhanced Safety and Efficiency

This thrust addresses fundamental challenges in developing more bio-inspired system designs that enable increased usability, affordability, and safety.

 

 

How to get involved?

For program specific inquiries and questions, please contact FRP leaders: Eshed Ohn-Bar or Alex Olshevsky.

Faculty interested in submitting a Focused Research Programs proposal are strongly encouraged to discuss their ideas with Yannis Paschalidis, director of the Hariri Institute for Computing.

To learn more details about the Hariri Institute’s Focused Research Programs, visit here.