mulliganMIT

real-marker-d2-c04-dagger-baseline

A robotics dataset from the Mulligan project containing 50 episodes of marker-based manipulation tasks collected with multiple camera views for training robotic policies using DAGGER (Dataset Aggregation) approach.

Downloads188
Episodes50

Why This Matters for Physical AI

This dataset enables training of robotic manipulation policies through multi-view camera observations and demonstrates the DAGGER methodology for iterative policy improvement in real-world robotic tasks.

Technical Profile

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

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