CLARU
mulliganMIT

real-marker-d2-c03-dagger-mulligan

A robotics dataset from the Mulligan project containing 50 episodes of marker-based manipulation tasks collected with dagger methodology. Part of the Mulligan benchmark for policy evaluation and training.

Downloads197
Episodes50

Why This Matters for Physical AI

This dataset provides real-world manipulation trajectories with multi-view camera observations for training and evaluating robot manipulation policies in the Mulligan benchmark framework.

Technical Profile

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

Access

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