“In the manifold of breakfast, are there empty subspaces? Might there be breakfasts that no one has ever had? With a theoretical model of breakfast, can we derive the existence of ‘dark breakfasts,’ breakfasts that we know must exist, but have never observed?”
问题在于，具身智能没有大模型那样的数据体量去覆盖所有光照变化。但换个思路，如果模型能关注局部信息——比如只锁定每瓶水的外观特征，而不关心背景、光线、桌子颜色——就能避免被全局变化干扰。这正是我们做“热力图”的出发点：让模型聚焦操作对象本身，而不是整个画面。
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