Autor: Daniel Syniawa

Foundation models are increasingly changing the way robots are used in industry. Instead of writing complex programs line by line, programmers will soon be able to collaborate more closely with AI systems, describe tasks, and review generated solutions. This shifts their role from purely generating code to conceptual, supervisory, and validation activities. This article highlights the new possibilities that large AI models create for robot programming and the changes they entail for work and required skills in industrial practice.

A key element of the energy transition in Germany lies in green hydrogen. The current production of electrolyzers is mostly done in a manufactory-like manner. By digital planning and preparing an assembly with automated, manual and collaborative elements, the manufacturing of water electrolyzers can be scaled economically. In this paper, a reference process from electrolyzer assembly is selected and analyzed for the complete mapping of a data structure. The determined data structure can be used as a basis for a digital twin.