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In an evolution toward autonomous learning, Tesla has incorporated advanced procedures that allow for scalable training. For instance, Nvidia's previous demonstrations showcased teleoperation and motion capture training, which Tesla has integrated into their own processes. Furthermore, the company has pioneered a simulation work model where thousands of iterations of a task are performed before a singular operational deployment is initialized on the robot.
This method was notably applied to the robot's dancing capabilities and has expanded to include advanced training protocols for various tasks, ensuring that human input becomes minimal over time. The establishment of a comprehensive simulation environment has allowed a more diverse range of functions to be undertaken.