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# π0.7 Minimal Validation
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# π0.7 最小复现
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这是一个面向**结构验证和极小样本过拟合**的 π0.7 最小实现。目标不是复现参数量、预训练权重或论文指标,而是保留官方论文中的关键模块、模态顺序、注意力信息流和训练/推理闭环。
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本项目是 Physical Intelligence π0.7 的最小复现,包含 MEM 视觉记忆、高层 subtask、visual subgoal、FAST 离散动作、flow action expert 和 training-time RTC。实现使用小型模型和极小数据集,可在单机上完成训练、推理与消融对比。
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实现依据:
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参考资料:
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- **π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities**;
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- **π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities**;
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- **MEM: Multi-Scale Embodied Memory for Vision Language Action Models**;
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- **MEM: Multi-Scale Embodied Memory for Vision Language Action Models**;
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