NVIDIA 发布 AW-0 机器人模型，统一生成技能代码、视频预测与动作

"Agentic World Action Models"

What if robots could write their own code to plan actions, while also predicting how the physical world will respond?

NVIDIA's new AW-0 combines three capabilities in one model: generating reusable skill programs, predicting future video frames, and producing robot actions. All three are generated together, which enables code-based planning to guide physical execution.

On RoboTwin 2.0, AW-0 achieves 50.7% average success, compared to 41.3% for π0.5. Across eight real-world manipulation tasks, it scores 71.1% vs 46.0% for the strongest baseline, including tasks like folding towels and solving a Rubik's Cube.

https://www.alphaxiv.org/abs/2610.30136