Digital twin technology significantly enhances AI robotics by providing a virtual, high-fidelity replica of physical robots and their operational environments. This allows AI algorithms to undergo extensive training and testing in a safe and cost-effective simulated space, eliminating the risks associated with real-world prototypes. Furthermore, digital twins can generate massive datasets for AI models, including complex or hazardous scenarios that are difficult to reproduce physically. AI can then leverage these twins for real-time performance monitoring, predictive maintenance, and optimizing operational parameters before actual deployment. This enables the development of more robust, autonomous, and intelligent robotic systems by allowing continuous refinement and validation in a controlled virtual setting. More details: https://donarch.ru/bitrix/redirect.php?goto=https%3A%2F%2Finfoguide.com.ua