 At Nice Equipment, a Danish dealer in large-scale industrial printers to the Scandinavian market, Åhus University researchers are working together with company technicians to establish a human-robot collaboration. The aim is to develop a marketable and adaptive co-bot technology built around an existing printing system. The reason why we started to work together with the Åhus University is mainly to get more knowledge about automation for our large-format printers and cutouts. It's been very difficult for us to find out exactly what is automation in small printers or larger printers and what are the costs and how much effort is involved to get the money. For us automation is important and that is to automate loading and unloading processes in printers and cutouts. And to bring us to a stage where we could actually find out if that's possible we need to work together with the university or somebody else that can actually put in a lot of effort and time. The core technologies being developed as part of the project is machine learning-based computer vision, a commercial grabbing device that can handle a multitude of different products and a digital twin technology built up around an SME environment. Heading the project at Åhus University is associate professor Su Ping Cheng. So we're trying to integrate the core laptop robotic system to automate the printing process production. It's a win-win strategy for both Åhus University and Danish SMEs.