Learning and Intelligent Systems @ TU Berlin

Welcome to the website of the Learning and Intelligent Systems research lab at TU Berlin, led by Prof. Marc Toussaint. The lab is part of EECS Faculty of TU Berlin, as well as the Science Of Intelligence cluster of excellence.

This site hosts our publications, teaching information for students, and recent talks given in our lab seminar.

For general questions, please contact office@lis.tu-berlin.de.

If you are looking for the Intelligent Multi-Robot Coordination Lab of Wolfgang Hönig, please follow this link.

Research

Our research interests are in the intersection of AI and robotics. We believe that a key in understanding and creating strongly generalizing intelligence is the interplay of learning and reasoning, of data-based and model-based decision making. Our research therefore bridges between AI reasoning, optimization, and machine learning to tackle fundamental problems in robotics. Concrete research topics we work on are models and algorithms for physical reasoning, task-and-motion planning (logic-geometric programming), learning heuristics, the planning-as-inference paradigm, algorithms and methods for robotic building construction, and learning to transfer model-based strategies to reactive and adaptive real-world behavior. To this end, we build on methodologies from optimization, reinforcement learning, machine learning, search, planning, and probabilistic inference.