CLARU
mulliganmit

real-marker-d2-c05-dagger-baseline

A robotics dataset from the Mulligan project containing 50 episodes of real marker manipulation tasks collected as training data with multi-camera observations.

Downloads218
Episodes50

Why This Matters for Physical AI

This dataset provides real-world multi-camera manipulation demonstrations for training and evaluating robotic policies on marker-based tasks, contributing to the Mulligan benchmark for systematic policy evaluation.

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

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