CLARU
mulligan2026mit

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

A robotics dataset from the Mulligan project containing 50 episodes of real robot manipulation data for the square-d2 task, collected with multiple camera views and used for policy training via dagger mining without conservative finetuning.

Downloads83
Episodes50

Why This Matters for Physical AI

This dataset contributes to the Mulligan benchmark for evaluating real-world robot manipulation policies through multi-view observations and iterative policy improvement via dagger mining.

Technical Profile

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

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