Sebastian Trimpe is a Senior Research Scientist and Group Leader at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany, where he leads the Intelligent Control Systems group. Sebastian obtained his Ph.D. (Dr. sc.) degree in 2013 from ETH Zurich with Raffaello DíAndrea at the Institute for Dynamic Systems and Control. Before, he received a B.Sc. degree in General Engineering Science in 2005, a M.Sc. degree (Dipl.-Ing.) in Electrical Engineering in 2007, and an MBA degree in Technology Management in 2007, all from Hamburg University of Technology. In 2007, he was a research scholar at the University of California at Berkeley. Sebastian is recipient of the General Engineering Award for the best undergraduate degree (2005), a scholarship from the German Academic National Foundation (2002-2007), the triennial IFAC World Congress Interactive Paper Prize (2011), and the Klaus Tschira Award for achievements in public understanding of science (2014). 

AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI   Info

AG Audience

English

60 Minutes

Kaiserslautern

Due to modern computer and data technology, we can today collect, store, process, and share more data than every before. This data revolution opens fundamentally new ways to think about the classical concept of feedback control as a basis for building future (artificial) intelligent systems, which interact with the physical world. In this talk, I will provide an overview of our recent research on intelligent control systems, which leverages machine learning and modern communication networks for control. I will present algorithms that enable systems to (i) autonomously learn from data, (ii) interconnect in cooperative networks, and (iii) use their resources efficiently. Throughout the talk, the developed algorithms and theory are highlighted with experiments on humanoid robots and a self-balancing dynamic sculpture.

Roslyn Stricker

--email hidden

Yes

Saarbrücken

E1 5

029

passcode not visible

logged in users only