Google’s artificial intelligence lab published a new paper explaining the development of the “first-of-its-kind” vision-language-action (VLA) model that learns from scrapping the internet and other data to allow robots to understand plain language commands from humans while navigating environments like the robot from the Dinsey movie Wall-E or the robot from the late 1990s flick Bicentennial Man.
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