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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)
Autonomous Motion
(Stefan Schaal)
Probabilistic Numerics
(MPG) (Philipp Hennig)
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)
Interdepartmental Robot Learning Group
(Jan Peters)
Biomolecular Hydrogels
(Ralf Richter)
Movement Generation and Control Group
(Ludovic 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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