Projects

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

Recent advances in Machine learning (specifically Computer Vision and Reinforcement Learning) allowed robots to understand objects and the surrounding environment on a perceptual non-symbolic level (e

In the project Autowerkstatt 4.0 (AW 4.0), a consortium consisting of companies and research institutes is developing a platform for the trustworthy data exchange of industry-specific AI models and ve

ENGAGE is a project within the framework of the strategic research and innovation agenda of DFKI and Inria in the field of artificial intelligence. Advances in machine learning algorithms and hardware

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

The KI4ETA project aims to achieve energy efficiency measures and operational optimization in production through the targeted use of AI. To achieve this goal, seven subprojects are developing an energ

In an increasingly interconnected and dynamic world, crises are inevitable, hard to predict, and pose immense challenges that demand robust, effective and timely management. Over the last decade, vari

MOTIVATION Ergonomische Fehlhaltungen tragen zu einem erhöhten Krankenstand und einem gesundheitsbedingten frühen Ausscheiden aus der Arbeitswelt bei. Häufig scheitern Lösungsansätze in der Realität a

Das Verbundprojekt SeMoSys - Sektionsmontage und Systeme hat die Zielsetzung, die Fertigung von Strukturen und die Installation von Systemen in der Flugzeugfertigung zusammen zu führen und weitestgehe