In an increasingly interconnected and dynamic world, crises are inevitable, hard to predict, and pose immense challenges that demand robust, effective and timely management. Over the last decade, vari
In the application areas of production planning and engineering, the lack of interoperability between tools, methods and formats is still a common problem. The aim of the project "Artificial Intellige
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
The APRIL project aims at prototyping low cost and agile market-oriented multipurpose, and easy to repurpose, autonomous dexterous robots; which will manipulate, assemble or process different soft and
The innovation competition "Artificial Intelligence as a Driver for Economically Relevant Ecosystems" (AI Innovation Competition) of the Federal Ministry of Economic Affairs and Energy (BMWi) is a fir
Deep learning methods are used in many application areas and work very efficiently after a training phase. However, in general no reliable statement can be made about their correctness. In contrast, t
The aim of the VerSys project is to develop a consistent platform for early software development based on RISC-V technology, an instruction set architecture for microprocessors which has been develope
The MOSAIK project is inspired by the principle of stigmergy, a form of communication in a decentralised system with a large number of individuals. The aim of this project is to develop a system archi
The goal of the German-Korean cooperation project WALL-ET is the development of a social transport robot, which can be used in Industrie 4.0 as well as in retail trade of the future. Through the scien
Die Verbindung von Sachgütern und Dienstleistungen zu hybriden Leistungsbündeln führt zu neu gebündelten Formen der Wertschöpfung: Das Produkt wird zum materiellen Träger einer Vielzahl von Dienstleis