World Labs发布仿真引擎，将真实任务转化为数千种模拟变体训练机器人
World Labs turns one real-world robot task into thousands of simulated variations for training
World Labs, the startup founded by AI pioneer Fei-Fei Li, has unveiled a simulation engine that trains robot controllers entirely in virtual environments. From a single real-world task, the system generates thousands of controlled variations. The trained models then ran for one hour each on five different robot platforms without human intervention. How well the results hold up in more complex everyday situations remains to be seen.
由AI先驱李飞飞创立的初创公司World Labs推出了一款模拟引擎，该引擎完全在虚拟环境中训练机器人控制器。系统从单个真实世界任务中生成数千种受控变体。随后，训练好的模型在五种不同的机器人平台上各运行了一小时，无需人工干预。这些结果在更复杂的日常情境中表现如何，仍有待观察。
The article World Labs turns one real-world robot task into thousands of simulated variations for training appeared first on The Decoder.
文章《World Labs将一项真实世界机器人任务转化为数千种模拟变体用于训练》首次出现在The Decoder上。
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