CLARU
mulligan2026MIT

real-square-d2-c04-dagger-mining-no-cf

A robotics dataset part of the Mulligan project containing 50 episodes of real robot manipulation data for the square-d2 task, collected with DAgger training methodology and multiple camera viewpoints.

Downloads76
Episodes50

Why This Matters for Physical AI

This dataset contributes to physical AI research by providing real robot manipulation trajectories with multi-view camera observations collected through DAgger methodology, enabling improved policy learning for robotic manipulation tasks.

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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