CLARU
mulliganMIT

real-marker-d2-c01-dagger-baseline

Part of the Mulligan robotics benchmark, this dataset contains 50 episodes of real robot manipulation tasks using marker-based detection collected from multiple camera viewpoints with dagger baseline policy.

Downloads187
Episodes50

Why This Matters for Physical AI

This dataset provides real robot demonstration data with multi-view visual observations for training and evaluating manipulation policies, supporting research in imitation learning and embodied AI.

Technical Profile

Modalities
rgb
Environment
lab
Task Types
manipulation
Episodes
50
Data Format
parquet
Annotation Types
success_labels
License
MIT
Part of the Mulligan family

Access

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