CLARU
mulliganMIT

real-routing-d2-c00-teleop-mixed

A real robot manipulation dataset from the Mulligan project containing 250 episodes of teleop-collected mixed routing tasks with multi-camera observations.

Downloads365
Episodes250

Why This Matters for Physical AI

This dataset contributes real-world robot manipulation trajectories with multiple camera viewpoints and success labels to enable training and evaluation of manipulation policies in the Mulligan benchmark framework.

Technical Profile

Modalities
rgb
Environment
lab
Task Types
manipulationrouting
Episodes
250
Data Format
parquet
Annotation Types
language_instructionsreward_labels
License
MIT
Part of the Mulligan family

Access

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