李飞飞用Waymo的例子说清楚了模拟怎么帮助机器人学习，比攒真实数据更高效。想了解机器人训练前沿的可以看。
李飞飞指出，模拟可以生成真实世界无法或难以发生的事件，让机器人在其中学习行动。她以Waymo为例，官方称使用了数十亿小时的模拟数据训练自动驾驶。她认为汽车是最简单的机器人，模拟在机器人学习中扮演巨大角色。World Labs也在构建用于训练机器人的虚拟世界。
Fei-Fei Li on what simulation can do for robotics that real-world data can't: "You play out events ...
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 Your browser does not support the video tag. 🔗 View on Twitter Fei-Fei Li @drfeifei When SceniX joined World Labs, we said spatial intelligence was never only about perceiving and generating virtual and physical worlds, but also interacting with them. Today, we’re sharing early results from that vision: building worlds that train robots. 🌎🤖↓ Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 6 🔄 2 ❤️ 20 👀 6150 📊 6 ⚡