Contact Information
Name Duygun Erol
Email duygun.erol@vanderbilt.edu
Position Graduate Research Assistant, PhD Candidate
Address

RASL, Olin Hall, # 518

Vanderbilt University

Phone (615) 343-6472
Fax (615) 343-6687
Research

Rehabilitation Robotic Assistive Systems

Stroke is a leading cause of disability in worldwide. In last few years, robotic devices are proposed to assist, enhance and quantify rehabilitation therapy for stroke patients.  In this research, a new robotic rehabilitation system that includes a device for assisting upper arm movements and an intelligent controller to provide controllable, quantifiable assistance to stroke patients in a safe and coordinated manner is proposed. The intelligent controller consists of two main components which are low-level device controller component (e.g. arm controller) and high-level controller component. The low-level controller is an artificial neural network (ANN) based PI gain scheduling direct force controller that has the ability to provide optimal assistance for a wide range of people and tasks under varying conditions. The high-level controller, which is called supervisory controller, is used to monitor, control and diagnose the low-level controller of the proposed rehabilitation system.

Research Group

Robotics and Autonomous Systems Laboratory

Research Group