The group studies the foundations of intelligent behaviour in technology and artificial agents, including, for example, social and industrial robots, and autonomous vehicles.
On the theoretical end, we work on embodiment and theories within embodied cognitive science, including their applicability to, and consequences for artificial agents. We also design and implement novel algorithms for the control of such agents in societally relevant applications, with a particular current focus on spiking neural network and neuromorphic approaches, as well as work on deep active inference. On the more applied end, we study how humans (want to) interact with such technology, and what the consequences are for the development of these agents.
The group manages the RobotLab at the Department of AI, which includes several state of the art robots including a Pepper, several Naos and drones, and a UR5e.