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Intelligent Systems: Departments

Intelligent Systems: Perception - Learning - Action


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.




Research Groups

Perceiving Systems
(Michael J. Black)
Sensorimotor Learning and Decision-Making
(Daniel Braun) (Emmy Noether Group)
Theory of Inhomogeneous Condensed Matter
(Siegfried Dietrich)
Micro, Nano, and Molecular Systems
(MPG) (Peer Fischer)
Phase Transformations, Thermodynamics and Kinetics
(Eric Jan Mittemeijer)
Membrane Biophysics
(Ana Garcia-Sáez)
Autonomous Motion
(Stefan Schaal)
Probabilistic Numerics
(Philipp Hennig) (Emmy Noether Group)
Empirical Inference
(Bernhard Schölkopf)
Non-equilibrium Systems
(Matthias Krüger) (Emmy Noether Group)
Modern Magnetic Systems
(Gisela Schütz)
Smart Nanoplasmonics
(Laura Na Liu)
Physical Intelligence
(Metin Sitti)
(Diego Pallarola)
New Materials and Biosystems
(Joachim Spatz)
(Diego Pallarola)
Motion Group
(Ludowig Righetti)

Max Planck Fellow

Smart Nano-Bio-Devices
(Samuel Sanchez)
Soft Matter
(Clemens Bechinger) (Max Planck Fellow)
(Klaus Weishaupt)
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