Skip to main content Skip to main navigation

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.

News

Projects

Page 1 of 16.

  1. NoIDLEChatGPT - No-IDLE meets ChatGPT

    Das Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI)…

  2. RIG - Robotics Institute Germany

    Robotics Institute Germany, national joint project of robotics research in Germany, coordinated by TU Munich

    The Robotics Institute Germany is an initiative by the Federal Ministry of Education and…

  3. EINHORN - Entwicklung von menschenzentrierten Systemen zur dialogorientierten Interaktion mit erklärbaren KI-Methoden für Prozessintelligenz

    Die rasante Entwicklung im Bereich KI, sowohl bei Maschinellem Lernen und sogenannten Large Language Models (LLM), die für die Sprachinteraktion von Bedeutung sind, ermöglichen immer mehr…

  4. LIEREx - Language-Image Embeddings for Robotic Exploration

    "Robot, bring me a cup!"

    This seemingly simple instruction often poses significant problems for robots.

    A robot can use semantic maps to query the positions of objects, but those objects may not…

  5. SIGN-HEP - Open source chip design infrastructure as a learning and competition platform for students and young talents

    In order to strengthen the innovation ecosystem for chip design in Germany and to attract more young people to the important field of semiconductor development and chip design, the DI-OCDCpro project…

  6. SC_Kleer - MultiGrasp: Multimodal Grasp Type Prediction for Dexterous Multi-fingered Robotic Grasping

    Partners

    TRUMPF Werkzeugmaschinen SE + Co. KG

     

  7. TwinMaP - Digital twin of a heterogeneous machine park for the complete machining of components

    The TwinMaP project focuses on the development of innovative concepts for digital twins of factory workers in assembly and pre-assembly. While other partners integrate digital twins of machines and…

  8. NEARBY - Noise and variability-free BCI systems for out-of-the-lab use

    Brain-computer interfaces, or BCIs for short, offer a promising possibility for human-machine interaction based on brain signals, especially as an interface for the operation of assistance systems for…

  9. DACE - Data Competence Centre for Circular Economy Data

    The aim of the circular economy (CE) is to enable sustainable development through the effective and efficient use of materials by minimising the extraction of resources from the environment as well as…

  10. FAIRe_RIC - Frugal Artificial Intelligence in Resource-limited environments

    FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend comprehensively from the application layer to the…