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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=169472"><dc:title>Digital twins in action</dc:title><dc:creator>Bošnak,	Matevž	(Avtor)
	</dc:creator><dc:creator>Andonovski,	Goran	(Avtor)
	</dc:creator><dc:creator>Škrjanc,	Igor	(Avtor)
	</dc:creator><dc:subject>digital twin</dc:subject><dc:subject>FuzbAI</dc:subject><dc:subject>automated table football</dc:subject><dc:description>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.</dc:description><dc:date>2024</dc:date><dc:date>2025-05-29 14:31:04</dc:date><dc:type>Neznano</dc:type><dc:identifier>169472</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
