In the research project QuMAL-KI - Quantum Accelerated Multi-Agent Learning for Long-Time Autonomous Robots - existing quantum algorithms will be evaluated to accelerate Deep Reinforcement Learning me
Roboter und Menschen sollen gemeinsam in Rückbau- oder Dekontaminationsvorgängen industrieller Anlagen eingesetzt werden Partners Fraunhofer IOSB, Karlsruher Institut für Technologie (KIT), FZI Forsch
Das Hauptziel des Auftrages ist die Arbeit eines sogenannten Methodenberaters für die methodische Leitung eines Projekts zur Entwicklung von Teilmodellen der Asset Administration Shell. Bei einem Eins
Sowohl in der Krankenversorgung in Kliniken als auch bei der Aufzeichnung von Gesundheitsdaten mit Smart-Geräten im privaten Bereich fällt eine große Menge medizinischer Daten an. Diese Daten können m
CALAHARI is a vision for a robot-assisted, semi-autonomous timber harvesting process. The synthesis of the requirements analysis for successful implementation in the forestry industry and the assessme
The project has the goal to open the potential for future micro rover missions by distinct further development and TRL increase of critical components. For this purpose, in addition to a generalized m
Quantum machine learning, in particular quantum deep reinforcement learning (QDRL), has gained tremendous attention in the scientific community in recent years, as promising results for simple tasks i
The project provides an AI-enabled assistant to support forensic experts. The AI-assistant helps to classify a sheer mass of fragments of deleted files, clusters all fragments that belong to individua
The 6G-Terafactory project explores innovative 6G campus network technologies in practical field deployment. Building on an open RAN approach and using state-of-the-art software practices, a blueprint
Future services and applications, especially in the area of multimedia, will generate an unprecedented amount of data for industry, media and private users, which must be transmitted at a speed and re