Design and development of human-analogous control systems via real-time human-in-the-loop (RTHL) simulation

2^nd World Congress on Automation and Robotics

June 13-15, 2016 Philadelphia, USA

Mehran Mehrandezh

University of Regina, Canada

Posters & Accepted Abstracts: Adv Robot Autom

Abstract :

In the animal kingdom, humans learn by acting on their environment, observing the consequence or effect of their acts and learning to adjust their actions accordingly over time to improve the output generated by their actions. They also learn to optimize their actions through reinforced learning. The ability of humans to optimize their behavior in natural systems can be expanded to that in man-made engineered systems as well. There is a world-wide effort towards developing control systems that are inspired from human intellect. Dr. Mehrandezh�s research revolves around the development of new algorithms to control systems with unknown dynamics. He has applied his algorithms on scenarios such as: Model-free control of an inverted pendulum, as a test-bench control systems and control of an adaptable and re-configurable climbing robot.

Biography :

Email: mehranmehrandezh@gmail.com