CLARU
mulliganMIT

real-marker-d2-c02-dagger-mulligan

A robotics dataset from the Mulligan project containing 50 episodes of marker-based manipulation tasks with multi-camera observations. Part of the Mulligan policy arena release for training and evaluation of robotic policies.

Downloads201
Episodes50

Why This Matters for Physical AI

This dataset contributes to physical AI research by providing multi-view RGB observations and trajectory data from real robotic manipulation tasks, enabling training and evaluation of visuomotor policies through the Mulligan framework.

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

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