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Video Max Planck Lecture 2016

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)
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)
Haptic Intelligence
(Katherine J. Kuchenbecker)
Membrane Biophysics
(Ana Garcia-Sáez)
Phase Transformations, Thermodynamics and Kinetics
(Eric Jan Mittemeijer)
Autonomous Vision Group (AVG)
(MPG) (Andreas Geiger)
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)
Nanoelectronics
(Diego Pallarola)
New Materials and Biosystems
(Joachim Spatz)
Interdepartmental Robot Learning Group
(Jan Peters)
  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)
nanoAR
(Klaus Weishaupt)
 
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