Inhalt des Dokuments
Dynamic Learning and Control
From Fachgebiet Regelungssysteme TU Berlin
These research activities are dedicated to the development of new methods for Learning and Control in a large range of applications that require online adaptation and decision making in real time. By combining novel machine learning approaches with well-founded systems and control theory, we aim to provide methods that overcome trade-offs between agility and accuracy on the one hand and resilience and explainability on the other hand.
Most research projects are concerned with specific application systems and with leveraging the advantages of the newly devised methods to overcome real-world challenges in autonomous aerial and ground vehicles, collaborative robotic systems and P4 medicine solutions.