Projects

ML-Synthom – Fertigungsnahes Maschinelles Lernen für die Automobilzuliefererindustrie durch synthetische Generierung von Oberflächen und Materialien

Ensuring industrial quality through new research The ML-SYNTHOM project is developing an AI-based test procedure for quality assurance for new types …

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 …

Adra-e – AI, Data and Robotics ecosystem

Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support …

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 …

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 …

SC_Gomaa – TeachTAM: Machine Teaching with Hybrid Neurosymbolic Reinforcement Learning; The Apprenticeship Model

Recent advances in Machine learning (specifically Computer Vision and Reinforcement Learning) allowed robots to understand objects and the surrounding …

AW4.0 – Autowerkstatt4.0

In the project Autowerkstatt 4.0 (AW 4.0), a consortium consisting of companies and research institutes is developing a platform for the trustworthy …

IICoSeP – Increasing Industrial Communication Security by Physical Layer Security

The project "Increasing Industrial Communication Security by Physical Layer Security" (IICoSeP) aims to improve the security, integrity and …

QUASIM – QC-Enhanced Service Ecosystem for Simulation in Manufacturing

Quantum computing (QC) is a technology developing rapidly in research, but has also raised initial expectations in industrial applications. The …

ENGAGE – NExt GeNeration ComputinG Environments for Artificial intelliGEnce

ENGAGE is a project within the framework of the strategic research and innovation agenda of DFKI and Inria in the field of artificial intelligence. …