Abstract: Artificial intelligence has been a vision of computer science, robotics, and cognitive science since the 1950s with learning at the core of intelligent systems. Due to the current abundance of data and computation, supervised learning techniques has taken over complete fields (web search, computer vision, natural language, customer analysis and prediction). While the impressive recent deep learning applications have led to the wide-spread belief that artificial intelligence is just around the corner, nothing could be further from the truth. Unlike such glorified curve fitting on huge data sets, an intelligent learning system has to interact with the world and learn online in real-time based on the outcomes of its own actions – similar to humans. No robot system to date can accomplish this goal. Instead, motion learning as essence of motion intelligence is key to any truly intelligent autonomous system.
Bio: Jan Peters is a full professor (W3) for Intelligent Autonomous Systems at the Computer Science Department of the Technische Universitaet 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 INNS Young Investigator Award, and the IEEE Robotics & Automation Society's Early Career Award. Recently, he received 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. Jan Peters has performed research in Germa ny at DLR, TU Munich and the Max Planck Institute for Biological Cybernetics (in addition to the institutions above), in Japan at the Advanced Telecommunication Research Center (ATR), at USC and at both NUS and Siemens Advanced Engineering in Singapore.
