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VERSION:2.0
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BEGIN:VEVENT
SUMMARY:MechE Colloquium: Safe Learning in Automatic Control Systems
DTSTART:20220513T120000
DTEND:20220513T130000
DTSTAMP:20260407T103541Z
UID:544e1a5a87eb917b234bfe77aa15b1cb0c0c9690f3d6feb4a96664c1
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Melanie Zeilinger\, Department of Mechanical and Process
  Engineering\, Institute for Dynamic Systems and Control\, ETHZ\nFace mask
 s are recommended for in-person attendance in MED 0 1418.\n\nAbstract: Aut
 omation is transforming our society through technological advances in robo
 tics\, transportation\, manufacturing\, energy and medical systems. As ubi
 quitous sensing and communication is turning these systems into large data
  generators\, learning is becoming a central element of automatic control 
 systems to address new levels of system complexity\, variability and user 
 interaction. While this paradigm shift offers tremendous opportunities\, i
 t also raises fundamental questions of learning in a closed-loop dynamical
  control system. The issue of safety is widely recognized as one of the ke
 y challenges limiting the widespread use of learning in industrial control
  applications.\n\nIn this talk\, I will present our research towards a new
  class of controllers that enable even safety-critical systems to leverage
  the potential of data and to advance our understanding of their safety an
 d performance properties. I will particularly highlight our results for us
 ing learning for automatic controller design to reduce development time wh
 ile pushing the performance envelope\, as well as a novel modular framewor
 k that can equip any learning-based controller with safety guarantees. The
  underlying theory and concepts will be illustrated with examples of appli
 cations from robotics.\n\nBiography: Melanie Zeilinger is an Assistant Pro
 fessor at the Department of Mechanical and Process Engineering at ETH Zuri
 ch\, Switzerland where she leads the Intelligent Control Systems group. Sh
 e received the Diploma degree in Engineering Cybernetics from the Universi
 ty of Stuttgart\, Germany\, in 2006\, and the Ph.D. degree with honors in 
 electrical engineering from ETH Zurich\, Switzerland\, in 2011. From 2011 
 to 2012 she was a Postdoctoral Fellow with the Ecole Polytechnique Federal
 e de Lausanne (EPFL)\, Switzerland. She was a Postdoctoral Researcher with
  the Max Planck Institute for Intelligent Systems\, Tübingen\, Germany un
 til 2015 and with the Department of Electrical Engineering and Computer Sc
 iences at the University of California at Berkeley\, CA\, USA\, from 2012 
 to 2014. From 2018 to 2019 she was a professor at the University of Freibu
 rg\, Germany. Her awards include the ETH medal for her PhD thesis\, a Mari
 e-Curie IO fellowship and an SNF Professorship grant. She is one of the or
 ganizers of the new Conference on Learning for Dynamics and Control (L4DC)
 . She is currently an Associate Editor for the IEEE Control Systems Magazi
 ne and the IEEE Control Systems Letters. Her research interests include le
 arning-based control with applications to robotics and human-in-the-loop c
 ontrol.
LOCATION:MED 0 1418 https://plan.epfl.ch/?room==MED%200%201418 https://epf
 l.zoom.us/j/67275071152
STATUS:CONFIRMED
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