Projects and products of ILT department

"Several Fraunhofer Institutes are collaboratively developing a data space solution for the independent and interoperable exchange of PCF data across borders."

In the lighthouse project Factory-X, an open and collaborative data ecosystem for factory outfitters and operators is being developed on the basis of Catena-X and concepts of the Industry 4.0 platform. Fraunhofer IOSB is involved in or leading a number of use cases.

Faster set-up and changeover: In the project, consistent plug-and-work capability was achieved in production-related software components - using the AutomationML and OPC UA standards. In the process, non-I4.0-communication-capable components are also retrofitted with I4.0 features.

Whether you’re a pioneer from industry, an SME, a skilled-trades business, the municipal or government sector, or an emergency services organization: As the Fraunhofer IOSB’s Humanoid Robots Experience Lab (HREL), we offer you low-threshold, hands-on access to humanoid robotics.

Keeping carbon in the cycle, and thus avoiding plastic waste and emissions: That is the goal of the “Waste4Future” project. Several Fraunhofer institutes and facilities IMWS, IZFP, IWKS, IOSB, FHR, LBF and IVV are pooling their competences to develop an entropy-based assessment model for carbon-containing waste streams and new technologies for sensing, sorting and mechanical and chemical recycling.

The Karlsruher Forschungsfabrik for AI-integrated production offers the special opportunity to research and develop the topic of “Intelligent Production” in a practical way on real processes.

As part of the joint project iTEXFer, we are developing an expandable Industry 4.0 construction kit specifically tailored to the textile industry.

Our Connector combines the benefits of Industrie 4.0 and International Data Spaces for interoperable, trusted and controlled data exchange.

The aim of the H2020 project is the digital management of production capacities for the development of flexible supply chains between consumers and producers - especially for rapid response to pandemics.

Understanding real traffic - safeguarding automated mobility. The safe introduction of highly and fully automated vehicles depends crucially on how well we can digitally map today's traffic events - especially critical situations. AVEAS develops scalable, data protection-compliant methods for systematically recording and modeling risk-relevant scenarios and transferring them to virtual test environments.