Projects

AIQUAMA – AI-based Quality Management for Smart Factories

Anomalies and defects in the production process cause high costs and have a negative impact on sustainability and productivity. If it is possible to detect such defects immediately when they occur, th

PhysWM – PhysWM - Learning from Causal Physical World Models

The project aims at reducing the sample and model complexity of robot learning algorithms. For that, known physical equations are merged with machine learning models in order to adapt faster to unknow

PerSim – PerSim - Perception Nodes for Simulation-Based Environment Representation

PerSim - Perception Nodes for Simulation-Based Environment Representation Dieses Projekt schlägt die Integration von Informationen in einen übergeordneten vollständigen und interaktiven Prozess zur Da

ELE2 – European Language Equality 2

DaTreFo – Datentreuhänder mit verschlüsselten Datenschätzen für die Forschung

Um KI-Technologien für die medizinische Forschung zu entwickeln, werden immense Datenmengen aus aktuellen und bereits abgeschlossenen Krankheitsfällen zum Lernen benötigt. Zwar werden solche Daten in

DZW – Digital twin in water resource management

Being able to guarantee unrestricted access to fresh drinking water is generally taken for granted. However, the appearance of clean water is deceptive - climate change and urbanization in particular

FLUENTLY – Fluently - the essence of human-robot interaction

Fluently leverages the latest advancements in AI-driven decision-making process to achieve true social collaboration between humans and machines while matching extremely dynamic manufacturing contexts

FUMOS – Fusion multimodaler optischer Sensoren zur 3D Bewegungserfassung in dichten, dynamischen Szenen für mobile, autonome Systeme

Autonomous vehicles will be an indispensable component of future mobility systems. Autonomous vehicles can significantly increase the safety of driving while simultaneously increasing traffic density.

HumanTech – Human Centered Technologies for a Safer and Greener European Construction Industry

The European construction industry faces three major challenges: improve its productivity, increase the safety and wellbeing of its workforce and make a shift towards a green, resource efficient indus

APLASTIC-Q-Canada – Machine Learning identification of pollutants and other debris in Canadian Waterways

The project deals with the further development of AI methods for the detection and analysis of litter in rivers and canals. Stationary camera systems are used, which enable long-term monitoring of the