ChrisF(✱,✱)(@chris_anm01):The dataset and paper based on the previous phase of community contributions are now live： Paper Link: https://t.co/sxOtA3rXwN Project Page: https://t.co/hOLYlgGARF Dataset Link: https://t.co/OZimct1zQS Github Codebase: https://t.co/yWGlDrwMNH Using Pi0.5 + AXIS-100%, we achieved 88.8 overall success on LIBERO-Plus. For comparison: Vanilla Pi0.5 achieved 83.9 A RoboCasa-matched simulation baseline achieved 57.5 This clearly demonstrates that diverse, in-the-wild data provides substantial gains in model performance. And V2 is already in progress — significantly larger in scale, covering more embodiments and a wider range of atomic capabilities.

2026.07.26 14:48

The dataset and paper based on the previous phase of community contributions are now live： Paper Link: Project Page: Dataset Link: Github Codebase: Using Pi0.5 + AXIS-100%, we achieved 88.8 overall success on LIBERO-Plus. For comparison: Vanilla Pi0.5 achieved 83.9 A RoboCasa-matched simulation baseline achieved 57.5 This clearly demonstrates that diverse, in-the-wild data provides substantial gains in model performance. And V2 is already in progress — significantly larger in scale, covering more embodiments and a wider range of atomic capabilities.