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.

Semantic navigation

The solution for semantic navigation improves the environmental perception of autonomous robots through AI-supported object recognition. This enables robots to navigate more efficiently and react according to the situation.

Sensor-based adaptation of the welding parameters

The sensor-based adjustment of welding parameters optimizes the welding process through automatic control, improves seam quality and simplifies programming under varying production conditions.

Sensor-based TIG welding of containments

A sensor-guided TIG welding cobot automates labor-intensive weld seams on containments, reduces costs by 20 % and reduces the ergonomic burden on employees.

TextilPick – Singulation of Used Textiles Using Robots for Textile Recycling

TextilPick - Separation of used textiles using robots for textile recycling Quick Check Initial situation The textile industry is facing a huge upheaval: Since 2025, the obligation to separate the collection of used...

Transfer Learning Basic Network Examination

The aim is to investigate transfer learning and optical character recognition to improve the recognition of small objects, adapting existing models to new use cases.