BMBF Research Hub 6G-Life

6G-life project is a BMBF-funded research hub, which will drive cutting-edge research for 6G communication networks with a focus on human-machine collaboration. 6G-life provides new approaches for sustainability, security, resilience and latency and will sustainably strengthen the economy and thus digital sovereignty in Germany.

CO-MAN: Safe data-driven control for human-centric systems

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.

REHYB: Rehabilitation based on Hybrid neuroprosthesis

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 - SEarch, identificAtion and Collection of marine Litter with Autonomous Robots

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.

con-PDmode: Control-oriented PD state modelling and estimation for precision medicine

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.

DFG Priority Programme Cyber-Physical Networking (SPP 1914)

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.

ONE MUNICH Strategy Forum Project - Next generation Human-Centered Robotics

In the ONE MUNICH Strategy Forum Project “Next generation Human-Centered Robotics”, 17 research groups from the three leading Munich research institutes, Technical University of Munich, Ludwig Maximilian University of Munich, and Helmholtz Zentrum München, conduct joint research on various aspects of machine intelligence, systems theory, and translational medicine. The project aims to leverage their collective expertise and efforts to develop novel technologies to address major societal health challenges.

COVEMAS - Control and Optimization for Event-triggered Networked Autonomous Multi-agent Systems

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.

eXprt - Exoskeleton and Wearables Enhanced Prevention and Treatment

eXprt develops a robotic exoskeleton to assist individuals with impaired hand function. Furthermore, using neuroimaging methods, eXprt will examine the neuroplastic adaptations that come with the use of the exoskeleton. Additionally, via wearable technologies, eXprt will use state-of-the-art machine learning methods to analyse everyday behavior in larger cohorts to learn about how to best improve prevention, outcome, and secure independency in daily life.