Marc Toussaint

Marc Toussaint is Full Professor leading the Learning & Intelligent Systems Lab at TU Berlin's EECS Faculty. His research integrates machine learning, optimization, and AI reasoning to solve fundamental robotics problems like physical reasoning and human-robot interaction.

He holds a physics diploma from University of Cologne and PhD from Ruhr-Universität Bochum. Key research themes include:

• Task-motion planning integration
• Reinforcement learning for robotics
• Physical simulation and control
• Probabilistic inference methods

Recent publications focus on efficient kinodynamic planning, belief space planning under uncertainty, and neural policy learning. He develops open-source robotic tools like the 'robotic python package' used in academic courses worldwide.

Toussaint collaborates with Amazon Robotics and MIT CSAIL, and has held positions at Max Planck Institute and University of Stuttgart.