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MolmoAct2-BimanualYAM · generated human demonstration videos

Synthetic human first-person demonstration videos generated from robot episodes of the MolmoAct2-BimanualYAM dataset, designed for Zero-WAM in-context training with 100 episodes across 34 tasks.

Downloads45
Episodes100
Likes1

Why This Matters for Physical AI

This dataset enables training of vision-language models for robotic manipulation by providing synthetic human demonstrations that bridge visual understanding and motor control for bimanual tasks.

Technical Profile

Modalities
rgblanguage
Robot Embodiments
bimanual manipulator
Environment
lab
Task Types
manipulation
Episodes
100
Data Format
LeRobot
Annotation Types
language_instructionsaction_labelssegmentation
Part of the MolmoAct2-BimanualYAM-Dataset family

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