For many practical applications of robotics and embodied AI, such as driverless cars, healthcare and domestic service robotics, scene understanding is a critical component. Modern methods rely heavily on deep learning to extract information about the scene from camera images.
You will support our ongoing research in the areas of:
- semantic scene understanding and semantic SLAM
- probabilistic object detection
- reliability of deep learning for robotics applications
- reinforcement learning based on semantic information.
Depending on the chosen project topic potential outcomes may include a software module that demonstrates a certain capability on a robot or a dataset, or a component that supports the research of one of our PhD students and can be used in a publication (evaluation, experiments, etc.).
Skills and experience
Depending on your chosen topic the requires skills vary.
In general you should be good at programming in Python and have a good understanding of linear algebra.
You may be able to apply for a research scholarship in our annual scholarship round.
Contact the supervisor for more information.