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What and Who
Title:Intelligent Control Systems
Speaker:Sebastian Trimpe
coming from:Max Planck Institute for Intelligent Systems
Speakers Bio: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). 
Event Type:SWS Colloquium
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:AG Audience
Language:English
Date, Time and Location
Date:Thursday, 4 May 2017
Time:11:00
Duration:60 Minutes
Location:Kaiserslautern
Building:G26
Room:113
Abstract
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.
Contact
Name(s):Roslyn Stricker
Video Broadcast
Video Broadcast:YesTo Location:Saarbrücken
To Building:E1 5To Room:029
Meeting ID:
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Created:
Roslyn Stricker/MPI-SWS, 05/02/2017 09:17 AM
Last modified:
Uwe Brahm/MPII/DE, 05/04/2017 07:01 AM
  • Roslyn Stricker, 05/02/2017 09:23 AM -- Created document.