Master Wahlmodul, Advanced Control Course with Machine Learning Elements

This course presents optimal control, learning-based control, and reinforcement learning principles from the perspective of robotics applications. The course covers the foundations of optimal control and derives practical control algorithms that leverage first-principle robot models as well as data collected from the robot system. Real-world challenges such as disturbances, state estimation errors and model errors are addressed, and adaptive and reinforcement learning approaches are derived to address these challenges... more info

Wissenschaftliches Seminar

Students will gain knowledge in robot learning and control by critically reviewing existing literature in this field. Topics will vary each term. Example topics include machine learning models for robotics, human-centred robot learning, learning of interactive tasks, learning from demonstration, safe robot learning, and multi-robot learning... more info