Only by appointment.
While most of my experience lies within robotics, I am interested in the broader field of intelligence research. The central question of my research is how the mechanisms work that enable humans and animals to behave in such a robust, adaptive, and goal-directed -- we might just say intelligent -- way. Many research fields need to contribute to answer this question, and thus I like to work as interdisciplinary as possible. However, the central part of my contribution lies in implementing different models of the mechanisms of intelligent behavior in synthetic agents, usually robots that act in the real world. Using these synthetic agents, we can quickly see how changes in the model affect behavior, a route towards insight which is usually unavailable when working with biological subjects.
Currently, I am investigating a computational principle from robotics as a candidate for a more general principle of intelligence. The candidate principle links perception directly with action: We use multiple interconnected recursive estimators to extract relevant information from sensory inputs and generate actions directly from these estimators, leveraging their differentiable implementation. In order to validate it as a more general principle, we apply it to a wide spectrum of intelligence research in collaboration with different research projects within the cluster of excellence Science of Intelligence.