Συντάχθηκε 09-03-2020 15:14
Ενημερώθηκε:
11-03-2020 16:17
Την Τετάρτη 18 Μαρτίου, 1-2 στο Αμφιθέατρο του Κτ. Επιστημών θα γίνει η ομιλία του κ. Ευάγγελου Θεοδώρου, Αναπλ. Καθ. στο Georgia Tech.
Title: The Science of Autonomy: A happy symbiosis at the intersection of Stochastic Control Theory, Statistical Physics and Deep Learning
Abstract: In this talk I will present an information theoretic approach to stochastic optimal control theory that has advantages over classical methodologies and theories for decision making under uncertainty. The main idea is that there are certain connections between optimality principles in control and information theoretic inequalities in statistical physics that allow us to solve hard decision making problems in robotics, aerospace systems and applied physics. There are essentially two different points of view of the same "thing" and these two different points of view overlap for a fairly general class of dynamical systems. I will also present novel information processing architectures for safe perceptual control of autonomous systems and show demos on aerial, terrestrial vehicles and multi-body robots. These architectures are designed using concepts and algorithms from decision making theory, deep learning, uncertainty quantification and online adaptation. I will conclude with recent findings in my lab related to work on deep learning theory using first principles and the development of novel stochastic control algorithms with applications to finite and infinite dimensional systems in robotics and applied physics.
Bio: Evangelos A. Theodorou is an associate 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 and the Center for Machine Learning. Evangelos Theodorou earned his Diploma in Electrical Engineering from 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 and International Conference of Robotics and Automation 2017. His theoretical research spans the areas of stochastic optimal control theory, machine learning, information theory and statistical physics. Application include the areas of robotics, aerospace systems and applied physics.
Contact info:
Dr. Evangelos Theodorou
Associate Professor
Autonomous Control and Decision Systems Laboratory
School of Aerospace Engineering
Institute of Robotics and Intelligent Machine
Center for Machine Learning
Georgia Institute of Technology
Webpage: http://pwp.gatech.edu/acds/
Tel: (404) 894.8197
