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The ATLAS robot is taught to perform its tasks through a combination of programming, machine learning, and simulation. Researchers at Boston Dynamics utilize a variety of training techniques, including reinforcement learning and motion planning algorithms, to enable ATLAS to learn from its environment and improve its performance over time. The robot practices tasks in virtual simulations before executing them in the real world, allowing for safer and more efficient learning. Additionally, human demonstrations can be used to guide ATLAS in mimicking complex movements and tasks.

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2mo ago

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