Physical AI Workflow Series: Nut Pouring #230
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RyaliNvidia
reviewed
Jan 15, 2026
RyaliNvidia
reviewed
Jan 15, 2026
| ACCEPT_EULA: Y | ||
| NO_NUCLEUS: Y | ||
| OMNI_KIT_ALLOW_ROOT: 1 | ||
| OMNI_SERVER: isaac-dev.ov.nvidia.com |
Contributor
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Is this good to use are the base example?
RyaliNvidia
reviewed
Jan 15, 2026
RyaliNvidia
reviewed
Jan 15, 2026
RyaliNvidia
reviewed
Jan 15, 2026
| storage: 256Gi | ||
| num_gpu: 1 | ||
| num_cpu: 16 | ||
| input_dataset: PhysAI-MimicGen |
Contributor
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Where is this coming from? I don't think as step has this as an output
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Once we get the updated workflow from @sauravn-hub for mimicgen (the first workflow), this first workflow will output PhysAI-MimicGen which will be used as an input for this second workflow
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Description
This PR introduces a new workflow series that demonstrates Physical AI, going from collecting and augmenting teleoperation data to training robot policies. This series presents an end-to-end pipeline that captures the entire process in six workflows.
Issue #229
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