THA_air

Research

Current Research Projects

Project KI-HEAP4.0

Research project with F. X. MEILLER Fahrzeug- und Maschinenfabrik GmbH & Co. KG, GROB-WERKE GmbH & Co. KG, ITQ GmbH and OmegaLambdaTec GmbH

In the KI-HEAP4.0 project, the production system of an automotive component manufacturer is represented as a digital twin.

This digital twin serves as a simulation environment to support decision-making in detailed production scheduling, using a hybrid approach that combines mathematical optimization with reinforcement learning. ↗

Research Kooperation

Projekt DEXAI

Forschungsprojekt mit inovex GmbH und RATIONAL AG

The DEXAI project develops resource-efficient and explainable methods for anomaly detection. The approach offers an alternative to data-intensive black-box models and makes results more transparent and traceable in technical applications. ↗

Research Kooperation

Projekt AIGS3D

A research project in collaboration with CADdent® GmbH

The AIGS3D project develops methods for automatically generating support structures for 3D-printed objects in dental technology. Machine learning techniques are used to adapt the support structures to the geometric requirements of each component. ↗

Research Kooperation

Projekt LunKItekt

Research project with inno-focus digital GmbH

The LunKItekt project develops AI-based methods for detecting material defects on workpiece surfaces and monitoring tool wear during machining. The aim is to improve component quality while making more efficient use of resources. ↗

Completed Research Projects

Research Kooperation

Projekt PAS4PCM

Research project with RATIONAL AG

The PAS4PCM project develops a predictive maintenance solution for industrial machines. By combining machine learning with an advanced data infrastructure, the approach helps reduce unplanned downtime and unnecessary repairs. ↗

Research Kooperation

Projekt DaSIe

Research project with Fraunhofer FIT, RATIONAL AG, MUNK GmbH, RENK Group AG, GROB-WERKE GmbH & Co. KG, HANZA BMK Group GmbH and WashTec AG

The DaSIe project uses AI to identify the needs of customers and internal stakeholders and combine them with process data for analysis. The project focuses on semi-automated needs analysis, semantic data preparation, autonomous decision support systems, connectivity and IT security. ↗

Research Kooperation

Projekt SPIKe

Research project with Fraunhofer FIT, TTZ Data Analytics at Augsburg University of Applied Sciences, RATIONAL Technical Services GmbH, WashTec AG and ITQ GmbH

The SPIKe project develops AI pipelines that map data flows in complex systems. They provide a transferable foundation for industrial AI applications and create a standardized data basis for implementing new solutions in companies. ↗

Publications

Übersicht Publikationen

Research Partners

IAIR - Institute of artificial intelligence and robotics an derNationalen Polytechnischen Universität Odessa(Odessa Polytechnic National University – OPNU), Ukraine

Augsburg University of Applied Sciences (THA) and Odessa Polytechnic National University (OPNU) have been closely connected in research and teaching for more than two decades.

The collaboration is particularly strong with the Institute of Computer Systems and the Institute of Artificial Intelligence and Robotics. Key areas of exchange include:

Joint doctoral projects
Student projects
Joint summer schools and seminars
Student theses
Scientific publications

Mehr