Berlin Machine Learning &
Robotics Group
PI: Marc Toussaint
TU Berlin
Franklinstr. 28/29
10587 Berlin, Germany
mtoussai@cs.tu-berlin.de
+49 30 314 24470 (room FR 6048)
ASIMO

members

Please see the individual homeages for more details on research and papers:


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Marc Toussaint
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Nikolay Jetchev
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Tobias Lang
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Nils Plath
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Stanimir Dragiev

The BMR group focuses its research on the intersection between the fields of Machine Learning and robotics. A specific aspect is the problem of learning appropriate representations to formulate and learn models of the environment on an abstract level. Such compact and behavior-based representations are a precondition for reasoning efficiently about possible behaviors or solutions to problems in natural environments. Eventually, our goal also is to understand how the human brain is able to form such internal representations of the world. The methods we focus on are derived from Reinforcement Learning, latent variable probabilistic models, and probabilistic inference methods.

The group is headed by Dr. Marc Toussaint, funded by the Emmy Noether excellence programme. It is embedded in Prof. Klaus-Robert Müller's Machine Learning group at the TU Berlin. The institute has a strong focus on Machine Learning, as also represented by Prof. Manfred Opper and Prof. Klaus Obermayer.

Collaborations

Open Positions

no open positions currently

Funding

The group is mainly funded by the Emmy Noether excellence programme of the German Research Foundation under the title of
Machine Learning and internal representations
in behaviour planning, motor control, and robotics.
Emmy Noether

Stanio is funded by the collaboration with the Honda Research Institute Europe (Offenbach) and the Research Institute for Cognition and Robotics (CoR-Lab) (Bielefeld).