CLARU
mulliganMIT

real-marker-d2-c04-dagger-mixed

A robotics manipulation dataset from the Mulligan project containing 110 episodes of real robot trajectories collected for marker-based manipulation tasks using dagger-mixed data collection.

Downloads239
Episodes110

Why This Matters for Physical AI

This dataset contributes real-world robot manipulation trajectories with multi-view camera observations to support training and evaluation of robotic control policies through dagger-based learning from demonstration.

Technical Profile

Modalities
rgb
Environment
lab
Task Types
manipulation
Episodes
110
Data Format
parquet
Annotation Types
language_instructions
License
MIT
Part of the Mulligan family

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