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Video Max Planck Lecture 2016

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)
Micro, Nano, and Molecular Systems
(MPG) (Peer Fischer)
Theory of Inhomogeneous Condensed Matter
(Siegfried Dietrich)
Membrane Biophysics
(Ana Garcia-Sáez)
Haptic Intelligence
(Katherine J. Kuchenbecker)
Autonomous Vision Group (AVG)
(MPG) (Andreas Geiger)
Phase Transformations, Thermodynamics and Kinetics
(Eric Jan Mittemeijer)
Probabilistic Numerics
(MPG) (Philipp Hennig)
Autonomous Motion
(Stefan Schaal)
Non-equilibrium Systems
(Matthias Krüger) (Emmy Noether Group)
Empirical Inference
(Bernhard Schölkopf)
Smart Nanoplasmonics
(Laura Na Liu)
Modern Magnetic Systems
(Gisela Schütz)
(Diego Pallarola)
Physical Intelligence
(Metin Sitti)
Interdepartmental Robot Learning Group
(Jan Peters)
New Materials and Biosystems
(Joachim Spatz)
Biomolecular Hydrogels
(Ralf Richter)
Motion Group
(Ludowig Righetti)

Max Planck Fellow

Smart Nano-Bio-Devices
(Samuel Sanchez)
Soft Matter
(Clemens Bechinger) (Max Planck Fellow)
Dynamic Locomotion Group
(MPG) (Alexander Spröwitz)
(Klaus Weishaupt)
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