Projects

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.

Adaptation of a large trained model for new sensor and label data

Adaptation of a large trained model for new sensor and label data Exploring Project Initial Situation A neural network (NN) plays the role of an advanced control system by generating safe driving trajectories for a moving vehicle....

AI patent application - knowledge extraction from patent documents with AI

By using AI, important information can be automatically extracted from patent documents and made available in a structured form (e.g. as a knowledge graph) for further use.

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.

ANTONIA - Automatic order processing

An intelligent system automates order processing by interpreting text notes, improves classification and increases efficiency when processing standardized orders.

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.

Food tray automation for clinics

The use of robots and AI methods is automating the portioning of meals in hospitals. This improves efficiency and relieves staff of monotonous tasks.

Evaluation of the relevance of image data in the training of neural networks

A method for evaluating the quality of image data when training neural networks is being developed in order to identify inferior images at an early stage and reduce costs and training time.