Research Topics

The research at the "Socially Intelligent Robotics Lab" Department focuses on intelligent interactive robotics.

- Semantic SLAM: how mobile robots, in combination with geometric SLAM methods, can come to a semantic scene understanding, i.e., recognize objects in their environment and anchor them in the map, even those they know poorly or have never seen before. For example, one goal is to learn as photorealistic a 3D map as possible of previously unknown (household) environments. 

- Sonic Human-Robot Interaction: besides verbal interaction between humans and robots, non-verbal utterances contribute equally to a believable and successful interaction. The goal here is to develop a system that can flexibly generate sound-based non-verbal utterances for robots, as well as the development of a derivation scheme for non-verbal utterances. 

For further information regarding our thesis topics and how you can do research with us, you are welcome to contact us directly via email.