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A single policy now masters both pushing and grasping, achieving 57.91% success on unseen objects and enabling complex emergent behaviors like table-assisted reorientation during grasping.
WAM-TTT allows robot models to adapt to new tasks using only raw human videos, eliminating the need for additional demonstrations or fine-tuning.