Research Projects


Generative Adversarial Networks and Semantics for Resilient, Flexible Production Robots

Start: 03/2022

End: 02/2025

The “GANResilRob – Generative Adversarial Networks and Semantics for Resilient, Flexible Production Robots” project works on enhancing the evolution of production robots. Industrial robots are precise, fast, and powerful. However, in the changing situation of the past years, one specific deficiency has become apparent: flexibility.

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.


David Timmermann

Research Scientist
Division: Intelligent Systems and Production Engineering

Research focus

Applied Artificial Intelligence

In this research focus, the FZI prioritizes the topics of Artificial Intelligence (AI) as well as human and AI engineering. In addition, the FZI deals with questions on dedicated AI hardware and predictive AI.

Funding notice:
The GANResilRob project is funded by the Federal Ministry for Economic Affairs and Climate Action (BMWK).

Project partners:

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