CLARU
mulliganMIT

real-routing-d2-c05-dagger-mixed

Real-world robotic routing dataset from the Mulligan project, containing 104 episodes of mixed-source trajectories collected at 15 FPS with multiple camera views for training and evaluation of manipulation policies.

Downloads220
Episodes104

Why This Matters for Physical AI

This dataset supports real-world robotic manipulation learning through multi-view observations and mixed-source trajectory collection, enabling policy training and evaluation in practical routing tasks.

Technical Profile

Modalities
rgb
Environment
lab
Task Types
manipulation
Episodes
104
Data Format
parquet
Annotation Types
language_instructionsreward_labelsaction_labels
License
MIT
Part of the Mulligan family

Access

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