Projects

NoIDLEChatGPT – No-IDLE meets ChatGPT

Das Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI) m

TwinMaP – Digital twin of a heterogeneous machine park for the complete machining of components

The TwinMaP project focuses on the development of innovative concepts for digital twins of factory workers in assembly and pre-assembly. While other partners integrate digital twins of machines and sy

No-IDLE – Interactive Deep Learning Enterprise

In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical doma

SC_INCOW – Influence of Cognitive Workload in Intent Recognition during Robot-Assisted Surgery

Partners Zeiss group

MASTER – MASTER: Mixed reality ecosystem for teaching robotics in manufacturing

Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) technologies have reached sufficient maturity to enter the

MOMENTUM – Robust Learning with Hybrid AI for Trustworthy Interaction of Humans and Machines in Complex Environments

MOMENTUM is a research project dedicated to TRUSTED-AI, which aims to advance the development and application of artificial intelligence by integrating robustness and explainability. The aim of the pr

Adra-e – AI, Data and Robotics ecosystem

Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support Action (CSA) funded by the European Commission under

ErgoBest – Erhebung ergonomischer Best Practices in industriellen Arbeitsprozessen mittels Internet-of-Things und Mixed Reality

MOTIVATION Ergonomische Fehlhaltungen tragen zu einem erhöhten Krankenstand und einem gesundheitsbedingten frühen Ausscheiden aus der Arbeitswelt bei. Häufig scheitern Lösungsansätze in der Realität a

STAR – Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable human-centric AI systems in real-life manufacturing environme

RACKET – Rare Class Learning and Unknown Events Detection for Flexible Production

The RACKET project addresses the problem of detecting rare and unknown faults by combining model-based and machine learning methods. The approach is based on the assumption that a physical or procedur