Whether in intralogistics, manufacturing or rescue operations: when different robots are required to carry out tasks together, they must be able to exchange information, understand its meaning and coordinate their actions. Until now, achieving the necessary interoperability – for example, through standardisation – has involved a great deal of effort. Large AI models open up new possibilities for achieving this. A new discussion paper from the Plattform Lernende Systeme shows how such AI models can support the interaction of robotic systems and what challenges still need to be overcome to ensure reliable and safe deployment.