Within the MikroBeM project we investigate the impact of real micro- and hypergravity on fine motor and cognitive learning states, workload conditions, and movement kinematics, analyzing biological si
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
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
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 flagship project "Collaborative Processes and Services for Aeronautics and Space" (COOPERANTS) is a project funded by the Federal Ministry for Economic Affairs and Climate Action (BMWK). The proje
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
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
In real disaster response deployments to date, robots have been used as fully teleoperated tools. With increasing autonomy, robotic systems should become agents that actively contribute to a mission.