Valentin N. Hartmann a postdoctoral researcher in the Computational Robotics Lab at ETH Zurich, and is working on multi-agent task and motion planning. He is interested in how to deal with uncertainty in planning, and how to get robots to be adaptive to changing circumstances. This includes learning-based methods and classical methods, and finding combinations to leverage the strengths of either approaches. He did his PhD in Marc Toussaint’s LIS group at TU Berlin, where he worked on task and motion planning (TAMP) using optimization techniques, in addition to sampling-based planners, with inspiration from control theory. He was associated with IntCDC, and was involved in several projects at the intersection of robotics and architecture.
