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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.
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Per-episode numbers RobotData has indexed locally (camera count, DoF, control rate, success rate). "Not indexed yet" means we have not recorded that number — it does not mean the publisher's data lacks observations, state or actions. See the source-backed profile above for what the publisher documents.
2 cameras
7 DoF
20 Hz
58% success
Data modalities
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