In the CO-MAN project, we aim to develop fundamentally novel approaches for safe data-driven control for human-centric systems, bridging gap between rigorous control and flexible machine learning techniques.
The ReHyb project designs an upper-body hybrid neuroprosthesis using cooperative control strategies based on data-driven system identification and probabilistic estimation techniques for the internal human states, namely digital twin of a user. Our goal is a patient-specific, assist-as-needed device which maximises the training efficiency during home-based rehabilitation as means of serious gaming, and offers a pleasant user experience by supporting patients in daily life activities.
SeaClear aims to develop the first autonomous robots for underwater litter collection. To this end, a mixed team of Unmanned Underwater, Surface, and Aerial Vehicles are employed to inspect, classify, and collect litter in coastal area.
Parkinson's disease (PD) is a progressive neurodegenerative disorder and constitutes a serious public health concern. Although there are various methods on the market for evaluating disease symptoms using wearable sensors, these technologies are difficult to use, expensive and often require specific hardware. The EU-funded con-PDmode project addresses these limitations by developing software capable of accounting for inaccuracies and uncertainty in the data collected from low-cost wearable sensors.
The goal of the Priority Programme is to develop the theoretical basis for the paradigmatic change from throughput- to real-time-oriented communication for networked control systems. In order to meet the requirements of cyber-physical applications a tight (horizontal and vertical) integration of all communication, control and system components is needed to fully exploit their individual elasticity and mutual adjustment potential. Ultimately, this requires joint communication, control and systems design methodologies. The Priority Programme aims at developing system-wide concepts and theories of modelling, analysis, coordination, and optimisation of the communication system and its components for networked control systems and real-time sensitive applications. It requires a novel unified consideration of models and methods from communication networks and systems, control, and information theory.
The project COVEMAS is concerned with the energy consumption in cooperating multi-agents systems. The goal is to build a framework for measuring the energy consumption of the networked agents and develop energy-efficient control algorithms via the event-based control methodology. The particular focus is on complex nonlinear agent dynamics and energy consumption models.