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Intelligent Systems: Departments

Intelligent Systems: Perception - Learning - Action


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.


Research Groups

Perceiving Systems
(Michael J. Black)
Soft Matter (Max Planck Fellow)
(Clemens Bechinger)
Theory of Inhomogeneous Condensed Matter
(Siegfried Dietrich)
(Jan-Henning Dirks)
Phase Transformations, Thermodynamics and Kinetics
(Eric Jan Mittemeijer)
Micro, Nano, and Molecular Systems
(MPG) (Peer Fischer)
Autonomous Motion
(Stefan Schaal)
Membrane Biophysics
(Ana Garcia-Sáez)
Empirical Inference
(Bernhard Schölkopf)
Non-equilibrium Systems
(Matthias Krüger)(Emmy-Noether)
Modern Magnetic Systems
(Gisela Schütz)
Smart Nanoplasmonics
(Laura Na Liu)
New Materials and Biosystems
(Joachim Spatz)
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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