Projects

KIMBA – KI-basierte Prozesssteuerung und automatisiertes Qualitätsmanagement im Recycling von Bau- und Abbruchabfällen durch sensorbasiertes Inline-Monitoring von Korngrößenverteilungen

With 587.4 million t/a of aggregates used, the construction industry is one of the most resource-intensive sectors in Germany. By substituting primary …

dAIEDGE – A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge

The dAIEDGE Network of Excellence (NoE) seeks to strengthen and support the development of the dynamic European cutting-edge AI ecosystem under the …

CleanSeas – CleanSeas

New robotic manipulation techniques and AI algorithms for the precise handling of objects in the sea using the example of ammunition dumps / UXO …

EASY – Energy-efficient analytics and control processes in the dynamic edge-cloud continuum for industrial manufacturing

The EASY project aims at the energy-efficient analysis and execution of manufacturing and control processes in the context of dynamic industrial …

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 …

M-RoCK – Human-Machine Interaction Modeling for Continuous Improvement of Robot Behavior

The current developments in digitalization, AI-based data processing, and powerful hardware lay the groundwork for future embodied AI assistants. …

KI4ETA – Artificial intelligence for energy technologies and applications in production

The KI4ETA project aims to achieve energy efficiency measures and operational optimization in production through the targeted use of AI. To achieve …

Agri-Gaia – ein agrarwirtschaftliches KI-Ökosystem

The Agri-Gaia project is creating an AI ecosystem for the agricultural and food industry based on Gaia-X. For this purpose, an innovative B2B platform …

INSYS – INTerpretable monitoring SYStems

The INSYS project is concerned with the interpretability of learned models and the resulting possibilities for self-monitoring of complex robotic …

DeeperSense – Deep-Learning for Multimodal Sensor Fusion

The main objective of DeeperSense is to significantly improve the capabilities for environment perception of service robots to improve their …