GANResilRob

The focus of GANResilRob therefore lies on anticipating exceptional situations. In the production of industrial companies, a large number of people often work in a limited environment and enclosed spaces. In the event of a pandemic or a political conflict, this can pose a risk of endangering worker health and company productivity. The GANResilRob approach creates a flexible, resilient industry. It is based on a combination of Machine Learning, Generative Adversarial Networks (GAN), Artificial Intelligence (AI)-based semantic interpretation and intuitive task programming.

For cases in which, for example, material supply chains are interrupted, the FZI Research Center for Information Technology provides production systems that learn tasks remotely and automatically adapt production chains to changed conditions. The FZI’s tasks within GANResilRob include researching the flexible and resilient robotic assembly of vacuum chambers and possibilities concerning the recycling of components from old cars.