Projects and products of the department MRD

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.

Das Fraunhofer IOSB hat eine KI entwickelt, die auf Basis aktueller Messwerte den Alterungszustand eines Katalysators zur Methanoxidation (Reinigung der Abgase von Schiffsmotoren) bestimmt.

The tools and concepts developed are intended to enable property managers and external service providers to optimize control loops (e.g., flow temperature setpoints) with minimal effort and in line with specific needs, and to immediately monitor the effectiveness of the measures.

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.

The ResilVerbund project focuses on the AI-supported monitoring and forecasting of biodiversity and water quality in drinking water reservoirs.

Concepts and procedures for the robust localization and navigation of underwater vehicles and for the realization of the planned inspection and exploration capabilities are developed.

The Potential pilot AI is a compact, modular solution that offers medium-sized companies a cost-effective way to evaluate the potential of AI processes in their production processes.

In this cooperation project, an intelligent system is to be designed and implemented as a prototype that enables the rapid detection and precise localization of leaks in district heating networks based on data and, based on this, calculates response strategies for shutting off network sections while ensuring an optimal supply to end customers.

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.

Das Projekt CC-King hat sich zum Ziel gesetzt, KI-Spitzenforschung mit etablierten Ingenieurdisziplinen zu verbinden. Hierdurch sollen KI-Methoden und maschinelle Lernverfahren (ML) entsprechend den typischen Anforderungen und Vorgehensweisen von Ingenieuren nutzbar gemacht werden.