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CASTER: Formalizing Zero-Shot Manipulation from Synthetic Videos as Constrained Optimization
Prior research on learning from humans often requires real human demonstrations. But advances in video generation models offer a new paradigm: we can now prompt these generators to make synthetic videos of the task. On the plus side, these synthetic videos take place in the robot's current environme
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