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Embodied AI combines sensors with machine learning to respond to real-world data

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Embodied AI combines sensors with machine learning to respond to real-world data.

Examples include autonomous drones, self-driving cars and factory automation.

Most embodied AI uses an algorithmically encoded map that, in many ways, is akin to the mental map of London 's labyrinthine network of roads and landmarks.

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