Our faculty are established leaders in the field of intelligent systems. Their research spans the disciplines of machine learning, computer vision, robotic motion control, micro- and nano-robotics, and haptics.

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Aamir Ahmad

Aerial Robotics & Multi-Robot Systems

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Zeynep Akata

Explainable Machine Learning

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Frank Allgöwer

Control Systems
  • Deputy Spokesperson
  • Executive Board

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Alexander Badri-Spröwitz

  • Executive Board

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Philipp Berens

Computational Neuroscience & Medical Data Science

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Matthias Bethge

Computer Vision

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Michael J. Black

Computer Vision
  • Executive Board

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Wieland Brendel

Machine Learning

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Andrés Bruhn

Computer Vision

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Andreas Bulling

Intelligent User Interfaces & Computer Vision

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Martin Butz

Cognitive Systems

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Caterina De Bacco

Machine Learning
  • Executive Board

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Christian Ebenbauer

Control Theory & Optimization

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Peer Fischer

Micro- & Nano-Robotics

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Andreas Geiger

Computer Vision

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Martin A. Giese

Neural & Computational Models

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Matthias Hein

Machine Learning

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Philipp Hennig

Machine Learning

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Ardian Jusufi

BioRobotics, Soft Robotics, & Biomechanics

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Christoph M. Keplinger

Materials & Soft Robotics
  • Executive Board

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Katherine J. Kuchenbecker

Haptics & Robotics
  • Spokesperson
  • Executive Board

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Hendrik Lensch

Computer Graphics & Vision
  • Deputy Spokesperson
  • Executive Board

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Falk Lieder

Computational Cognitive Science & Rationality Enhancement

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Nicole Ludwig

Machine Learning in Energy Systems

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Jakob Macke

Machine Learning & Computational Neuroscience

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Setareh Maghsudi

Decision-Making & Multi-Agent Systems

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Georg Martius

Machine Learning & Robotics

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Michael Muehlebach

Machine Learning & Dynamical Systems

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Tian Qiu

Micro-Robotics & Biomedical Microdevices

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C. David Remy

Robotics & Locomotion

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Samira Samadi

Machine Learning

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Syn Schmitt

Biomechanics & Biorobotics

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Bernhard Schölkopf

Machine Learning

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Gabriele Schweikert

Biomedical Data Science, Computational Epigenomics & Machine Learning

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Michael Sedlmair

Visualization & Virtual/Augmented Reality

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Fabian Sinz

Neuroscience & Machine Learning

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Metin Sitti

Micro- & Nano-Robotics

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Steffen Staab

Knowledge Graphs & Machine Learning

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Ingo Steinwart

Machine Learning

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Jörg Stückler

Computer Vision & Robotics

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Ulrike von Luxburg

Machine Learning

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Felix Wichmann

Perceptual Inference

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Charley M. Wu

Computational Cognitive Science & Social Learning
Associated faculty members are a key part of our intellectual community. Their research lies either in our core research area of intelligent systems or in related fields.

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R. Harald Baayen

Statistical Data Analysis & Computational Modeling

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Peter Dayan

Computational Neuroscience

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Jonathan Fiene

Mechatronics & Robotics

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Bedartha Goswami

Machine Learning in Climate Science

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Daniel Häufle

Motor Control & Rehabilitation Robotics

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Ksenia Keplinger

Social Learning & Organizational Behavior

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Anna Levina

Computational Neuroscience

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Jim Mainprice


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Kay Nieselt

Bioinformatics, Computational Genomics & Transcriptomics

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Peter Ochs

Mathematical Optimization for Machine Learning

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Mijung Park

Machine Learning

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Nico Pfeifer

Biomedical Data Science & Machine Learning

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Peter P. Pott

Medical Robotics & Haptics

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Gunther Richter

Material Science in Nanostructures

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Ludovic Righetti


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Marc Toussaint

Machine Learning & Robotics

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Sebastian Trimpe

Control Systems & Machine Learning

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Isabel Valera

Machine Learning

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Maria Wirzberger

Cognitive Science & Human-Computer Interaction

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Li Zhaoping

Vision & Brain
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