李飞飞的World Labs出了个仿真引擎，一条真实任务能生成几千个变体，机器人在五种平台各跑了一小时不用管。
World Labs（李飞飞创立的AI公司）推出了一款仿真引擎，可在纯虚拟环境中训练机器人控制器。该系统从一条真实世界任务就能生成数千个受控变体。训练后的模型在五种不同机器人平台上分别连续运行一小时，无需人工干预。该技术在更复杂的日常场景中的表现还有待验证。
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. The article World Labs turns one real-world robot task into thousands of simulated variations for training appeared first on The Decoder .