CLARU
mulliganMIT

real-marker-d2-c05-dagger-mining-no-cf

A robotics dataset from the Mulligan project containing 50 episodes of real robot manipulation data collected with multiple wrist and side cameras, used for training policies with data aggregation and ablation studies.

Downloads210
Episodes50

Why This Matters for Physical AI

This dataset contributes to physical AI research by providing real robot manipulation trajectories with multi-view visual observations and success labels, enabling the development and evaluation of imitation learning policies through data aggregation techniques.

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

Access

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