robot learning frameworks

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Robot learning frameworks provide specialized software platforms, model architectures, and simulation environments to train autonomous agents using modern machine learning. They are primarily used by embodied AI researchers and robotics engineers developing complex manipulation and locomotion capabilities. Unlike traditional robotics middleware or generic machine learning libraries, these frameworks specifically focus on sensorimotor policies, world models, and vision-language-action integration for physical hardware.

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