Control theory

A key area of research is the development of enabling control technologies to support semi-autonomous, or teleoperated robots. Target features include time delay compensation, robust control, perturbation compensation, automated function control and advanced safety features. Practical obstacles and limitations of invasive / non-invasive telemedicine would be investigated and modern robust control algorithms would be developed to overcome these, using clinical data collected from real patients via proper identification methods Modern control methods seek to provide this safety, and guarantee to handle even the worst case situations by taking dynamics into account and formulating solutions in a “model-free” way. Our aim is to develop modern robust control frameworks for a wide range of problems; e.g., to increase the stability of individualized model-based therapies for the broader domain of telemedicine.