Marc Toussaint
Marc Toussaint is a full professor of computer science at TU Berlin, where he leads the Learning and Intelligent Systems Lab within the EECS Faculty and is a member of the Science of Intelligence cluster of excellence. His research focuses on the intersection of AI and robotics, with particular emphasis on task-and-motion planning, logic-geometric programming, physical reasoning, and the integration of learning and reasoning for robotic manipulation and construction. He is known for foundational work on planning-as-inference, logic-geometric programming, and kinodynamic motion planning algorithms including iDb-A* and ST-RRT*. Prior to joining TU Berlin in 2020, he held professorships at the University of Stuttgart and FU Berlin, and was a Max Planck Fellow with the MPI for Intelligent Systems.
“his lab's prior work on iDb-RRT and Dynobench forms the foundation for the DynoFluxBench framework and the ST-Db-RRT planner”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.