The Spotlight Stage SPL05
OEB Spotlight Stage: All Building Blocks In Place for the Robot rEvolution
Date Thursday, Dec 7 Time – Room Potsdam 3
Automation in different sectors helps increase productivity and reduce costs, which makes robots an integral part of industry already. What lies at the core of the acceleration of automation? For a robot to acquire motor skills, various forms of learning are involved: reinforcement, self-directed improvement, imitation, prediction…. Will learning strategies and algorythms for machine learning in robotics face limitations? Join this session with an outlook to the future of adaptable, complex, fast movements that robots will learn from you.
Technical University Darmstadt, Germany
Robots that Learn!
Jan Peters is one of leading scientists working on the development of machine learning systems for robotics.
He is a full professor (W3) for Intelligent Autonomous Systems at the Computer Science Department of the Technische Universität Darmstadt and at the same time a senior research scientist and group leader at the Max-Planck Institute for Intelligent Systems, where he heads the interdepartmental Robot Learning Group. Jan Peters has received the Dick Volz Best 2007 US PhD Thesis Runner-Up Award, the Robotics: Science & Systems - Early Career Spotlight, the Young Investigator Award of the International Neural Networks Society, and the IEEE Robotics & Automation Society‘s Early Career Award as well as numerous best paper awards. In 2015, he was awarded an ERC Starting Grant. Jan Peters has studied Computer Science, Electrical, Mechanical and Control Engineering at TU Munich and FernUni Hagen in Germany, at the National University of Singapore (NUS) and the University of Southern California (USC). He has received four Master‘s degrees in these disciplines as well as a Computer Science PhD from USC.