CLARU
mulliganMIT

real-routing-d2-c01-dagger-mulligan-no-cf

Part of the Mulligan project, this dataset contains training data for a real cable routing task collected through dagger methodology with the mulligan-no-cf variant. It includes 50 episodes with multi-view camera observations.

Downloads351
Episodes50

Why This Matters for Physical AI

This dataset contributes to physical AI research by providing real-world manipulation data for cable routing tasks using multi-view observations, enabling training and evaluation of imitation learning policies for complex dexterous manipulation.

Technical Profile

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

Access

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