Quick Check

A central focus of the AI Innovation 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.

Adapting a trained model for new sensor sources

The adaptation of trained AI models to new sensor sources aims to accelerate the development of autonomous trucks, reduce costs and promote sustainability by reducing test drives.

Adaptive Cruise Control Regulation via Driver Model

Adaptive Cruise Control systems adjust vehicle speed based on various factors. AI-powered driver state analysis enables a more comfortable and safer ride.

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.

ANTONIA - Automatic order processing

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

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.

Automatic hanging of faceplate brackets

Creation of a concept for hanging brackets on an electroplating rack. Hanging is carried out by a robot with a magazine gripper and optical localization of the individual hooks.

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.

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.

Cobot-assisted production of surgical instruments

The project team carried out an automation potential analysis across all manufacturing steps of surgical instruments. Sub-tasks were identified that could be performed by cobots with intelligent, AI-supported control.