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
Part of the Mulligan family

Access

Need custom rgb data?

Claru builds purpose-built datasets for lab applications with dense human annotations and quality assurance.

Request a Sample Pack

Related Datasets