CLARU
mulliganMIT

real-marker-d2-c04-dagger-mining-no-cf

Part of the Mulligan robotics dataset collection, containing 50 episodes of real robot manipulation data collected with a dagger mining variant and no cost function. Data includes multi-view camera observations and action trajectories formatted as parquet files.

Downloads199
Episodes50

Why This Matters for Physical AI

This dataset contributes to physical AI research by providing real robot manipulation trajectories with multi-view observations for training and evaluating imitation learning policies through systematic ablation studies.

Technical Profile

Modalities
rgb
Environment
lab
Task Types
manipulation
Episodes
50
Data Format
parquet
Annotation Types
action_labelsreward_labels
License
MIT
Part of the Mulligan family

Access

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