Marc Toussaint

Marc Toussaint's interests include reasoning and learning in jointly logic, geometric and probabilistic domains, and in real-world robotic demonstrations thereof. He focuses on formulations of the design and construction problem from a multi-agent robotic manipulation and AI perspective, and develop novel methods for planning, co-optimisation, reinforcement learning and reactive execution with decentralised autonomous robots.

Education and Degrees

• 2003 Dr. rer. nat., Institute for Neuroinformatics, Ruhr-University Bochum, Prof. Werner von Seelen
• 1999 Dipl., Physics, University of Cologne
• 1994 – 1999 Studies in Physics and Mathematics (Pre-Diploma 1996)

Professional Career

• 2012 – present Professor (W3), Head of the Machine Learning and Robotics Lab, University of Stuttgart
• 2011 – present Coordinator of the DFG Priority Programme SPP 1527 Autono-mous Learning
• 2010 – 2012 Assistant Professor (W1) for Machine Learning and Robotics at FU Berlin
• 2010 – 2012 Co-Speaker of the DFG graduate school Sensory Computation in Neural Systems
• 2007 – 2012 Head of the independent research group Machine Learning and Ro-botics (Emmy Noether Programme) before 10/2010 at TU Berlin, later at FU Ber-lin
• 2006 – 2007 Honda Research Institute: Guest scientist at the robotics department of HRI Europe Offenbach
• 2004 – 2006 University of Edinburgh: Postdoc (Emmy-Noether stipendiary) at the Institute for Adaptive and Neural Computation (Prof. Chris Williams) and the Institute for Perception Action, and Behavior (Prof. Sethu Vijayakumar)
• 2000 – 2004 Ruhr-University Bochum: Research assistant