"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
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
The goal of the ECXL project is to develop a design and verification platform for RISC-V based systems. The verification platform will allow models on the abstract electronic system level as well as o
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
In the sub-project QAICO (Quantum AI for Coordination and Cooperation) of the joint project QAI2 (Quantum AI for Automotive Industry), DFKI is researching the possibilities and potential of quantum AI
PHYSICS’s vision is to address the aforementioned challenges and empower application developers, platform owners and infrastructure providers (e.g. Cloud, Edge etc). For the former, the goal is to eas
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