The MELLOW research project aims to improve two key aspects of the shoe manufacturing process: Firstly, the development and introduction of an AI-based assistance system will make it easier for worker
The manufacturing sector faces challenges such as increasing international competition, political tensions, material shortages or unpredictable natural events. The RAASCEMAN project aims to mitigate a
Brain-computer interfaces, or BCIs for short, offer a promising possibility for human-machine interaction based on brain signals, especially as an interface for the operation of assistance systems for
Future centers (KI); support of small and medium-sized enterprises and employees in the exemplary and participatory testing of new technologies, such as artificial intelligence, for operational practi
Um die langfristige Verfügbarkeit der Eclipse BaSyx Middleware zu gewährleisten und die Investitionen in die Open-Source Middleware zu sichern sollen mit Hilfe des beantragten Projekts identifizierte
Anomalies and defects in the production process cause high costs and have a negative impact on sustainability and productivity. If it is possible to detect such defects immediately when they occur, th
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
Recent advances in Machine learning (specifically Computer Vision and Reinforcement Learning) allowed robots to understand objects and the surrounding environment on a perceptual non-symbolic level (e