To improve engineering, operation and maintenance and re-engineering of hybrid systems including all three disciplines (mechanical, electrical and software engineering) to increase product and production quality and time to market is the goal of ais, e.g. SFB 768 information systems and information technology aspects.
To increase product quality and reduce time to market both research areas model-based development approaches and quality management contribute directly. Indirectly also improved and integrated engineering tools and more adequate support during operation, which is grouped under human factors (usability), leads to the above mentioned goals. Due to the rising complexity in engineering and operation distribution is one measure to cope with complexity and therefore one key research topic of ais.
Human-Machine Interaction - Human-Machine Interaction, Data Integration and Processing to Support the Human
Model-based Engineering - Model-based Engineering of Variant-rich, Interdisciplinary Manufacturing Systems
Intelligent Production Systems - Intelligent, Reconfigurable, Distributed Cyber-Physical Production Systems
Big Data in Automated Production Systems - Methods for Aggregating, Analysing and Preparing Big Data
Self-X Material Flow Demonstrator - Material Flow Systems (Intralogistics)
Hybrides Prozessmodell - Processes from Manufacturing and Process Technology
RIAN - Robot Integrated Agent Network
MyJoghurt - Industrie 4.0-Demonstrator
Pick and Place Unit – Benchmark für die Automatisierungstechnik
Neutralisierungsanlage – Testbett für Forschung im Bereich prozesstechnischer Anlagen
Visual Computing Laboratory – Visualisierungs und Interaktion mit komplexen Daten