CLARU
mulligan2026MIT

real-routing-d2-legacy-r05-eval-b01

Evaluation dataset of 150 episodes from the Mulligan real-routing-d2 task, containing 79,377 frames collected at 15 FPS with multi-camera observations from a real robotic system.

Downloads150
Episodes150

Why This Matters for Physical AI

This dataset provides real-world robot manipulation task data with multi-camera observations for evaluating routing policies and benchmarking embodied AI systems.

Technical Profile

Modalities
rgb
Environment
lab
Task Types
routing
Episodes
150
Data Format
parquet
Annotation Types
success_labels
License
MIT
Part of the Mulligan family

Access

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