ASPIRO

In view of increasingly volatile markets and complex economic conditions, the demands on production sites are growing. In addition to the need to increase the productivity and efficiency of companies, it will be crucial to be able to react quickly, flexibly and effectively to market uncertainties. At the same time, digitalisation and artificial intelligence (AI) methods are opening up new opportunities, whether through efficient, consistent and highly networked digitalised process chains throughout the entire product life cycle or through intuitive interaction with cognitive and learning robot systems using multimodal interfaces.

In terms of technology and methodology, the project focuses on the further development and research of intelligent, digitally networked and modular stationary and mobile robot systems. It should be possible to adapt these systems flexibly and with little effort to the requirements of the given production tasks. Regardless of whether it is a collaborative assembly, handling or inspection task in industry, a surface treatment in a craft business or a dismantling process in the circular economy. In particular, the new possibilities of digitalisation and AI are to be used to create intelligent assistance systems for sustainable production, which not only act autonomously, but also interact with humans in a natural and simple way.

In this project, the DLR Institute of Data Science is responsible for the central interfaces between design tools and production data. We develop innovative methods for analysing STEP files to extract relevant information on components and assemblies into a semantic model (knowledge graph). This model is the basis to enable more intelligent and flexible production processes. By making relevant information accessible and suitable for further use, we build the basis for more agile manufacturing satisfying the needs of volatile markets in a complex, economic environment.