mulliganMIT
real-marker-d2-c02-dagger-baseline
A robotics dataset from the Mulligan project containing 50 episodes of marker manipulation tasks collected with multiple camera views for training baseline dagger policies.
Downloads197
Episodes50
Why This Matters for Physical AI
This dataset contributes to physical AI research by providing multi-view real robot manipulation demonstrations with dagger-collected trajectories for training embodied policies on marker manipulation tasks.
Technical Profile
- Modalities
- rgb
- Environment
- lab
- Task Types
- manipulation
- Episodes
- 50
- Data Format
- parquet
- Annotation Types
- language_instructions
- License
- MIT
Access
Need custom rgb data?
Claru builds purpose-built datasets for lab applications with dense human annotations and quality assurance.
Request a Sample Pack