Embodied models are AI systems that learn through physical interaction with their environment, using sensors and actuators to simulate real-world tasks. They’re used in robotics, autonomous vehicles, and virtual reality to improve decision-making and motor skills. Engineers, researchers, and developers benefit from faster prototyping and safer testing.
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