CLARU
mulliganMIT

real-marker-d2-c05-dagger-mulligan

Part of the Mulligan project, this dataset contains 50 episodes of real robot manipulation data for the real-marker-d2 task collected from a training-view perspective with multi-camera observations.

Downloads184
Episodes50

Why This Matters for Physical AI

This dataset contributes real-world manipulation demonstrations for training embodied AI policies through multi-view camera observations and structured trajectory data.

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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