It's a human-to-robot translator of sorts.
Friday that the model, called RT-2, is trained with language and visual inputs and is designed to translate knowledge from the web into instructions that robots can understand and respond to.
In a series of trials, the robot demonstrated that it can recognize and distinguish between the flags of different countries, a soccer ball from a basketball, pop icons like Taylor Swift, and items like a can of Red Bull.
That means that training robots traditionally required generating billions of data points from scratch, along with specific instructions and commands. A task like telling a bot to throw away a piece of trash involved programmers explicitly training the robot to identify the object that is the trash, the trash can, and what actions to take to pick the object up and throw it away.
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