@theworldlabs: To scale robot intelligence, we must scale the worlds in which robots learn.
Summary
World Labs shares early results on building worlds to train robots, advancing spatial intelligence for interaction with physical and virtual environments.
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To scale robot intelligence, we must scale the worlds in which robots learn.
Fei-Fei Li on what simulation can do for robotics that real-world data can’t:
“You play out events that haven’t happened, or cannot happen… And while you play it out, you learn how to act in it.”
“That’s really important in robotics, because we cannot possibly have enough real-world data for that.”
“Here is a real life example: the industry of self-driving cars. Waymo has officially said they use billions of hours of simulation.”
“Cars are the simplest kind of robots. So clearly simulation plays a huge role in robotic learning.”
@drfeifei @YunzhuLiYZ @theworldlabs @martin_casado
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