mulligan2026apache-2.0
real-routing-d2-c09-dagger-baseline
A robotic manipulation dataset from the Mulligan project containing 100 episodes of real-world routing task demonstrations collected with multiple wrist and side-view cameras at 15 FPS.
Downloads18
Episodes100
Why This Matters for Physical AI
This dataset contributes to physical AI research by providing real-world multi-view robotic manipulation trajectories for training and evaluating imitation learning policies on routing tasks.
Technical Profile
- Modalities
- rgb
- Environment
- lab
- Task Types
- manipulation
- Episodes
- 100
- Data Format
- parquet
- Annotation Types
- reward_labels
- License
- apache-2.0
Access
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