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Physical-Intelligence/openpi

Physical-Intelligence/openpi architecture graph
Physical-Intelligence/openpi architecture graph
  • Physical-Intelligence/openpi
  • FP8 + FP16
  • AGX Thor
Labels
  • Text
  • VLA
  • Robot Policy
Build
Embedl-optimized
Precision
FP8 + FP16
Runtime
TensorRT 10.16.2.10 with Embedl optimizations
Action chunk
10 actions, 10 denoising steps

π0.5 is Physical Intelligence's vision-language-action policy: it takes camera images and a task instruction and outputs robot actions. This is the official OpenPI LIBERO checkpoint.

Simulator: LIBERO

8f1084e · MuJoCo 3.9.0 · Franka Emika Panda · 20 steps per second

4 scenes

  • Kitchen counter libero_goal/0

    LIBERO-Goal · at most 300 steps

    • open the middle drawer of the cabinet
    • put the bowl on the stove
    • put the wine bottle on top of the cabinet
    • open the top drawer and put the bowl inside
    • put the bowl on top of the cabinet
    • push the plate to the front of the stove
    • put the cream cheese in the bowl
    • turn on the stove
    • put the bowl on the plate
    • put the wine bottle on the rack
  • Bowls and a plate libero_spatial/0

    LIBERO-Spatial · at most 220 steps

    • pick up the black bowl between the plate and the ramekin and place it on the plate
  • Groceries and a basket libero_object/0

    LIBERO-Object · at most 280 steps

    • pick up the alphabet soup and place it in the basket
  • Living room libero_10/0

    LIBERO-10 · at most 520 steps

    • put both the alphabet soup and the tomato sauce in the basket

OpenPI code is Apache-2.0 and LIBERO code is MIT; the weights and tokenizer are Gemma Model Derivatives under the Gemma Terms of Use (ai.google.dev/gemma/terms). Not an official Physical Intelligence product.

Files

Image Size

Model

docker.io/embedl/models:gh.physical-intelligence.openpi.pi05-libero-fp8.thor.20261018164038ff

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Runtime

docker.io/embedl/models:pi0_5-openpi.libero.thor.runtime.arm64.2026101816383dae

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