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Intelligent Systems: Departments


Intelligent Systems: Perception - Learning - Action

Profile

Our goal is to understand the principles of perception, learning and action 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)
nano.AR
(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)
Probabilistic Numerics
(Philipp Hennig) (Emmy Noether Group)
Modern Magnetic Systems
(Gisela Schütz)
Non-equilibrium Systems
(Matthias Krüger) (Emmy Noether Group)
Physical Intelligence
(Metin Sitti)
Smart Nanoplasmonics
(Laura Na Liu)
New Materials and Biosystems
(Joachim Spatz)
Nanoelectronics
(Diego Pallarola)
Biomolecular Hydrogels
(Ralf Richter)
Smart Nano-Bio-Devices
(Samuel Sanchez)
 
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