Future computer programs will contain a growing part of 'intelligent' software modules that are not conventionally programmed, but that are learned either from data provided by the user or from data that the program autonomously collects during its use.

In this spirit, the Machine Learning Lab deals with research on Machine Learning techniques and the integration of learning modules into larger software systems, aiming at their effective application in complex real-world problems. Application areas are robotics, control, forecasting and disposition systems, scheduling and related fields.

Research Areas: Efficient Reinforcement Learning Algorithms, Intelligent Robot Control Architectures, Learning in Multiagent Systems, (Un-)Supervised Learning, Deep Learning, Autonomous Robots, Industrial Applications, Clinical Applications


System Design Project Competition

System Design Project Competition 17.2.2015

The annual final competition of the System Design Project will take place this Wednesday, February 18. First year students will compete with LEGO robots developed over the past semester to finish an unknown course as quickly as possible. This year, a livestream will be available as well, which you can watch here.


GSO-2014 31.7.2014

We organised the Seventh International Workshop on Guided Self-Organization GSO-2014 in collaboration with the BrainLinks-BrainTools cluster of excellence at University of Freiburg.

OpenTribot Revived

OpenTribot Revived 24.6.2014

The OpenTribot project has moved its software repository to GitHub, allowing anyone who wishes to construct their own soccer robot to get started on this open source system once again.

52. Jahrestagung DGfE im World Conference Center Bonn

52. Jahrestagung DGfE im World Conference Center Bonn 15.5.2014

Auf der 52. Jahrestagung der Deutschen Gesellschaft für Epileptologie hatte das Machine Learning Lab die Gelegenheit, seine Arbeit in einer ganz besonderen Umgebung zu präsentieren. Im World Conference Center Bonn - dem ehmaligen Bundestagsgebäude - stellte Manuel Blum die aktuellen Ergebnisse des BrainLinks-BrainTools Projektes “Early Seizure Detection” einem medizinischen Fachpublikum vor.

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