Das Projekt Multi-Level Abstractions and Causal Modeling for Enhanced Reinforcement Learning (MAC-MERLin) zielt darauf ab, durch die Nutzung von Multi-Level-Abstraktionen in Kombination mit kausaler M
"Robot, bring me a cup!" This seemingly simple instruction often poses significant problems for robots. A robot can use semantic maps to query the positions of objects, but those objects may not even
FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend comprehensively from the application layer to the physi
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 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 - 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
The current developments in digitalization, AI-based data processing, and powerful hardware lay the groundwork for future embodied AI assistants. These intelligent robots must be versatile, adaptive a
For service operations on satellites or the exploration of foreign planets, robotic systems will be of particular interest in the future, as they are relatively inexpensive compared to manned space fl
Das Verbundprojekt SeMoSys - Sektionsmontage und Systeme hat die Zielsetzung, die Fertigung von Strukturen und die Installation von Systemen in der Flugzeugfertigung zusammen zu führen und weitestgehe
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