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
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