mulliganMIT

real-marker-d2-c03-dagger-mining-no-cf

Part of the Mulligan dataset collection, containing 50 episodes of real robot manipulation data collected with multiple camera views for the real-marker-d2 task using dagger mining without counterfactual augmentation.

Downloads212
Episodes50

Why This Matters for Physical AI

This dataset provides real robot manipulation trajectories with multi-view observations that contribute to training and evaluating dagger-based policies for robotic task learning in the Mulligan benchmark.

Technical Profile

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

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