Motivation – Intuitive and flexible control of production systems is one of the key challenges facing modern manufacturing environments. Language- and text-based AI opens up new possibilities in this area by allowing complex processes to be described in natural language and automatically translated into standardized, machine-readable skills. This creates low-threshold access to the programming and adaptation of industrial processes.

Tasks and objectives – The aim of this work is to develop an AI-supported framework that enables specific skills for robots or production systems to be modeled, combined, and integrated into real systems in a standardized manner via OPC UA using simple text descriptions and voice commands. You will build on solid preliminary work in the fields of digital twins, skill modeling, and OPC UA. The focus is on connecting modern AI technologies with industrial standards to increase flexibility and interoperability in production.

Requirements:

• Programming skills, e.g., in Python, C++, or JavaScript

• Ideally, initial experience with artificial intelligence, especially language models (e.g., GPT, LLMs) and generative AI

• Independent, structured way of working and willingness to learn new technologies