Fields of Application

Industry 4.0

“Industry 4.0” describes the 4th Industrial Revolution through the introduction of modern information and communication technologies in production. The DFKI is regarded as the decisive founder of this movement. This far-reaching paradigm shift was first publicly named in 2011 by Wolfgang Wahlster, Henning Kagermann and Wolf-Dieter Lukas. The term became the name of the Federal Government's high-tech strategy and a synonym for the production of the future worldwide. Since 2005, the technology initiative SmartFactoryKL e.V., based at the DFKI in Kaiserslautern, has been researching and developing such technologies. The factory of the future is flexible, safe and produces both large series and customized individual products with the optimal use of resources. Humans work hand in hand with robots in hybrid teams and are supported in their activities by intelligent assistance systems.


On July 4th, the sustainability minister of Rheinland-Pfalz, Katrin Eder, signed the cooperation agreement for the project "DZW - Digital Twin Water…

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The cooperation between Inria and DFKI had its trade fair premiere at VivaTech 2022: In a tandem, the two research organizations presented start-ups…

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Article by DFKI CEO Prof. Dr. Antonio Krüger in Unternehmermagazin, issue 1/2-2022.

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INTerpretable monitoring SYStems

The INSYS project is concerned with the interpretability of learned models and the resulting possibilities for self-monitoring of complex robotic systems working with multimodal data. This will be…

Bringing AI Planning to the European On-Demand AI Platform

The project AIPlan4EU aims to bring the most advanced task planning and execution technology to companies, small and medium size enterprises, innovators, practitioners and more through the European AI…

Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable human-centric AI systems in real-life manufacturing…

Optimized hybrid space-time service continuum in FAAS

PHYSICS’s vision is to address the aforementioned challenges and empower application developers, platform owners and infrastructure providers (e.g. Cloud, Edge etc). For the former, the goal is to…

Connected Assets iNteroperability framework Via AAS

CanvAAS 2 ist ein erweitertes Projekt von CanvAAS. CanvAAS 2 soll die bereits entwickelte CanvAAS API im Bezug ihren Synchronisationsmechanismus zwischen physischen Assets und ihren digitalen…

National Research Data Infrastructure for Engineering Sciences

NFDI4Ing is one of the funded consortia of the NFDI initiative of DFG (

NFDI4Ing brings together the engineering communities and…

Multi-Agent Systems for Pervasive Artificial Intelligence for assisting Humans in Modular Production Environments

Development of a multi-agent-based technology for the integration of AI algorithms in autonomous modular production with worker assistance.


  • DMD Med Tech
  • InTechCentras
  • LMS
  • tecnalia
  • aimen
  • TNO
Rare Class Learning and Unknown Events Detection for Flexible Production

The RACKET project addresses the problem of detecting rare and unknown faults by combining model-based and machine learning methods. The approach is based on the assumption that a physical or…

Continuous Adaptive Machine-Learning of Transfer of Control Situations

A remaining major challenge with autonomous systems is the handling of situations that the system cannot handle on its own. Up to now, this transfer of control has been considered in isolation. An…

Dynamic planning in Individual Manufacturing along the supply Chain (Preparation Phase)

Phase 1 of 2 (Preparation Phase):

The fulfilment of individual customer requirements is becoming an increasingly decisive factor when considering the competitiveness of companies. The make-to-order or…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz