In the industrial metaverse, robots are trained in virtual environments, learning complex skills in hours that would take humans months or years. This approach, known as simulation to reality (Sim2Real), allows robots to practice tasks, encounter challenges, and develop problem-solving skills in simulated factories, warehouses, and production lines. Siemens SIMATIC Robot Pick AI, for example, trains robots on synthetic data to handle unpredictable tasks with over 98% accuracy. This method reduces the need for extensive real-world programming, which previously could take days or weeks. Companies like EPF and Siemens are leveraging AI and digital twins to create adaptable robots that can work across different sectors without mechanical reconfiguration. This training revolution not only speeds up the learning process but also allows for software updates to scale across entire fleets, enhancing flexibility and meeting the demand for adaptive production.
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