Fine-tune robot policies and serve their actions.
Guides users through fine-tuning robot policies, converting checkpoints, and serving validated OpenPI inference.
When to use it
Use for fine-tuning OpenPI models on robot datasets, serving policies, converting JAX checkpoints to PyTorch, or debugging training.
Give it an OpenPI training or serving request; it sets up the repository, adapts training configurations, and validates policy inference.
Requires uv version 0.4.0 or newer for the workspace setup and workflow commands.
Uses Python to verify the OpenPI installation and run its scripts.
This skill
gpu-server.local
Sends observations to the policy server
gs://openpi-assets
Downloads pretrained robot policy checkpoints