Production and quality management

A central focus of the AI Progress Center is direct cooperation with industrial companies: Feasibility studies (Quick Checks) and projects to develop initial prototypes (Exploring Projects) of AI applications. In addition, consortium projects and innovation networks are aimed at cross-company exchange.

Connection of intelligent control for virtual commissioning

The integration of ROS-based controllers into the ISG-virtuos simulation software enables early access to intelligent systems, promotes the development of autonomous technologies and supports risk-free testing.

Anchor final inspection - quality inspections using AI

An AI-supported system for the automated quality inspection of anchors is being developed to reduce manual inspections, detect damage at an early stage and cut production costs.

Use cases for artificial intelligence in the field of thermal spray processes and surface coating

The project identified relevant use cases for artificial intelligence in the field of thermal spraying. These were then subjected to a benefit analysis.

APT - Artificial Physics Teacher

Neural networks optimize physics simulation for robots by determining suitable parameters, improving data quality and reducing deviations between simulation and reality.

Automated testing of fasteners during production

An automated inspection system with robot and image-based inspection is implemented to optimize the quality control of fasteners and minimize inspection effort.

DIEFEDA - direct error feedback during assembly

An AI-supported assistance system improves assembly processes through real-time feedback, minimizes error rates, relieves skilled workers and optimizes the final inspection to increase quality and competitiveness.

Digital integration

A linked knowledge database for the injection molding process is being set up to detect anomalies at an early stage and learn robust parameters. AI optimizes system parameters for new products.

Vehicle part segmentation for improved damage detection

AI-based vehicle part segmentation improves damage detection by precisely assigning defects to vehicle parts, reducing misclassifications and estimating repair costs more accurately.

FlexCab - flexible, intelligent cable assembly

A flexible, intelligent robot system for the automated assembly of high- and low-voltage connectors is being developed to reduce manual labor and increase efficiency.

High speed picking

The analysis of the patient journey at Klinikum Stuttgart identifies AI applications to optimize care, increase employee satisfaction and improve economic and ecological criteria.