CLARU
mulliganMIT

real-marker-d2-c00-teleop-mixed

A real robot manipulation dataset collected via teleoperation containing 250 episodes of marker-based task demonstrations. Part of the Mulligan project, providing raw teleoperated collection data with multi-camera observations.

Downloads287
Episodes250

Why This Matters for Physical AI

This dataset contributes to physical AI research by providing real robot teleoperated demonstrations with multi-camera views that can be used for imitation learning and policy training in manipulation tasks.

Technical Profile

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

Access

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