We research computer vision and machine learning methods for intelligent systems, in particular robotics and embodied artificial intelligence.

We investigate methods and algorithms of visual and multimodal perception in technical systems such as robots that interact with their environment. For example, we deal with methods that can detect the motion and properties of robots and other objects in the environment using sensors, so that robots can make decisions about their actions in the environment. We consider robotic systems that handle objects and navigate autonomously.

An overview of publications can be found at Joerg Stueckler's Google Scholar profile.

Inquiries about possible Bachelor and Master thesis topics are welcome! Please send an email to Prof. Stueckler with your CV, BSc/MSc transcripts, and a short paragraph stating your research interests.