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Stanford HYDRA
Long-horizon kitchen and tool use
Stanford IRIS & REAL Labs
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570 demonstrations of long-horizon kitchen tasks (making toast, coffee, pouring) used to train HYDRA's hybrid dense/sparse action representation, which switches between waypoint and continuous control.
Reported structure
Values below come from the dataset's own documentation. Missing fields are shown as not provided rather than estimated.
2 cameras
7 DoF
20 Hz
58% success
Data modalities
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