The FuzbAI system represents a fusion of traditional table football with advanced technology, incorporating computer vision, motion control mechanisms, and artificial intelligence algorithms to provide a new take of the human-machine interaction with the exciting gaming experience. This paper presents a short examination of the FuzbAI system, including its architecture, the development of a digital twin for simulation, and the organization of the FuzbAI competition. Initiated in 2019, the FuzbAI project aimed to attract students to electrical engineering while serving as a platform for testing various AI algorithms. Through the integration of cutting-edge components, FuzbAI offers an immersive gaming experience while preserving the essence of table football. The introduction of a digital twin facilitates rigorous algorithm testing, driving advancements in autonomous gaming. The FuzbAI competition, a showcase of talent and innovation, highlights the potential of AI in gaming. The competition results indicate that sim-to-real approach can be effective tool for simulation-based training and obtaining good performance of AI agents in real-world gaming environments.
