The Professorship of Intelligent Space and Energy Systems focuses on the application of state-of-the-art artificial intelligence methods for sequential decision-making under uncertainty. In particular, we investigate the safe, ongoing acquisition and adaptation of new skills through deep reinforcement learning. A further focus lies on ensuring that policies learned in this manner can be deployed and reused in a reliable way, especially in real-world, safety-critical systems.

The primary application domain comprises all areas related to the DLR Institute of Space Propulsion. This includes, in particular, optimized space propulsion control and test operations, energy management of the site, and (partially) autonomous robotic inspection after engine tests. In addition, research is conducted on the application of these methods to autonomous spacecraft.

If you are interested in one of these areas, you are very welcome to attend one or more of our courses or write your Bachelor and/or Master thesis in our group.