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Intelligent Systems: Departments


Intelligent Systems: Perception - Learning - Action

Profile

Our goal is to understand the principles of perception, action and learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems.

The Institute studies these principles in biological, computational, hybrid, and material systems ranging from nano to macro scales.

We take a highly interdisciplinary approach that combines mathematics, computation, material science, and biology.

Departments

Research Groups

Perceiving Systems
(Michael J. Black)
Soft Matter (Max Planck Fellow)
(Clemens Bechinger)
Theory of Inhomogeneous Condensed Matter
(Siegfried Dietrich)
Machine Learning and Computational Biology
(Karsten Borgwardt)
Phase Transformations, Thermodynamics and Kinetics
(Eric Jan Mittemeijer)
nano.AR
(Jan-Henning Dirks)
Autonomous Motion
(Stefan Schaal)
Micro, Nano, and Molecular Systems
(MPG) (Peer Fischer)
Empirical Inference
(Bernhard Schölkopf)
Membrane Biophysics
(Ana Garcia-Sáez)
Modern Magnetic Systems
(Gisela Schütz)
Non-equilibrium Systems
(Matthias Krüger)(Emmy-Noether)
New Materials and Biosystems
(Joachim Spatz)
Smart Nanoplasmonics
(Laura Na Liu)
Biomolecular Hydrogels
(Ralf Richter)
Smart Nano-Bio-Devices
(Samuel Sanchez)
Semiconductor Biosensors
(Ralf Zeitler/Christoph Becker-Freyseng)
Stuttgart Center for Electron Microscopy
(StEM) (Peter van Aken)
 
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