World Labs 发布 R2S2R 仿真引擎，将真实任务转化为数千种模拟变体
原标题：World Labs turns one real-world robot task into thousands of simulated variations for training
AI 摘要
World Labs 发布了名为 R2S2R 的仿真引擎，可将真实世界的机器人任务转化为数千种模拟变体，用于训练和评估控制模型，从而减少对昂贵硬件测试的依赖。该技术源自其收购的 SceniX，并在 ALOHA 等平台上验证了模型在模拟中训练后可稳定运行一小时。World Labs 认为，仿真可以替代硬件进行策略评估，并计划将世界模型扩展至机器人领域。
正文节选
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 control systems entirely in virtual environments. The models then run reliably for hours on real hardware. The company's "Real-to-Sim-to-Real" (R2S2R) engine turns real-world robot tasks into simulations for training and evaluating control models, cutting out expensive tests on actual hardware.