mulligan2026apache-2.0
real-routing-d2-c05-dagger-baseline
A robotics dataset from the Mulligan project containing 50 episodes of real robot manipulation trajectories collected with dagger-based training, recorded at 15 FPS from multiple camera viewpoints.
Downloads17
Episodes50
Why This Matters for Physical AI
This dataset contributes to physical AI research by providing real robot manipulation trajectories with multi-view observations for training and evaluating behavior cloning and dagger-based learning algorithms.
Technical Profile
- Modalities
- rgb
- Environment
- lab
- Task Types
- routing
- Episodes
- 50
- Data Format
- parquet
- Annotation Types
- language_instructionsreward_labels
- License
- apache-2.0
Access
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