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SayCan by Google

Type, customize voices, use multiple devices for tailored text output.

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SayCan by Google is a research project focused on grounding language in robotic affordances, aiming to enable robots to perform actions based on what they can do rather than just following verbal instructions. The work involves multiple contributors including Michael Ahn and Chelsea Finn, who have developed systems that link linguistic concepts directly to the physical capabilities of machines. This approach suits researchers and developers working on advanced robotics who require a deeper understanding of how language interacts with mechanical function.

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