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)
Micro, Nano, and Molecular Systems
(MPG) (Peer Fischer)
Theory of Inhomogeneous Condensed Matter
(Siegfried Dietrich)
Autonomous Vision Group (AVG)
(MPG) (Andreas Geiger)
Haptic Intelligence
(Katherine J. Kuchenbecker)
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)
Nanoelectronics
(Diego Pallarola)
Physical Intelligence
(Metin Sitti)
Interdepartmental Robot Learning Group
(Jan Peters)
New Materials and Biosystems
(Joachim Spatz)
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)
nanoAR
(Klaus Weishaupt)