Stochastic Control of Finite and Infinite Dimensional Systems Under Uncertainty: Theory, Algorithms and Applications
Thu, Oct 18, 2018 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Evangelos A. Theodorou , Guggenheim School of Aerospace Engineering, Georgia Institute of Technology
Talk Title: Stochastic Control of Finite and Infinite Dimensional Systems Under Uncertainty: Theory, Algorithms and Applications
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: In this talk, I will present an overview of projects related to stochastic control and machine learning methods and their applications to dynamical systems represented by stochastic differential and stochastic partial differential equations. These are typically systems that exists in autonomy and robotics as well as in areas of applied physics such as fluid mechanics, plasma physics and turbulence. I will discuss different forms of uncertainty representation that span Gaussian Processes, Polynomial Chaos, Deep Probabilistic Neural Networks and Q-Wiener processes. Finally, I will show applications to robotic terrestrial agility, perceptual control, social networks, large-scale swarms, and control of stochastic fields, and conclude with future directions.
Biography: Evangelos A. Theodorou is an assistant professor with the Guggenheim School of aerospace engineering at Georgia Institute of Technology. He is also affiliated with the Institute of Robotics and Intelligent Machines. Evangelos Theodorou earned his Diploma in Electronic and Computer Engineering from the Technical University of Crete (TUC), Greece in 2001. He has also received a MSc in Production Engineering from TUC in 2003, a MSc in Computer Science and Engineering from University of Minnesota in spring of 2007 and a MSc in Electrical Engineering on dynamics and controls from the University of Southern California(USC) in Spring 2010. In May of 2011 he graduated with his PhD, in Computer Science at USC. After his PhD, he was a Postdoctoral Research Fellow with the department of computer science and engineering, University of Washington, Seattle. Evangelos Theodorou is the recipient of the King-Sun Fu best paper award of the IEEE Transactions on Robotics for the year 2012 and recipient of the best paper award in cognitive robotics in International Conference of Robotics and Automation 2011. He was also the finalist for the best paper award in International Conference of Humanoid Robotics 2010, International Conference of Robotics and Automation 2017 and Robotics Science and Systems 2018. His theoretical research spans the areas of stochastic optimal control theory, machine learning, information theory and statistical physics. Applications involve learning, planning and control in autonomous, robotics and aerospace systems.
Host: Prof. Paul Bogdan
Audiences: Everyone Is Invited
Contact: Talyia White