mulliganMIT
real-marker-d2-c01-dagger-mulligan
A robotic manipulation dataset from the Mulligan project featuring real-world marker-based D2 task demonstrations collected as training data with dagger methodology. Part of the Mulligan benchmark for policy evaluation and training.
Downloads190
Episodes50
Why This Matters for Physical AI
This dataset contributes to physical AI research by providing real-world robotic manipulation demonstrations with multi-camera observations for training and evaluating manipulation policies through the Mulligan benchmark framework.
Technical Profile
- Modalities
- rgb
- Environment
- lab
- Task Types
- manipulation
- Episodes
- 50
- Data Format
- parquet
- Annotation Types
- language_instructionsreward_labels
- License
- MIT
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