CanIEmbody

Does π0 run on Franka Emika Panda?

works with caveats
T1 · upstream documentedlast verified 2026-10-24 · 1d agoopenpi

Capabilities

CapabilityStateNotesEvidence
Train / fine-tuneworksev-openpi-readme-pi0-droid
Real-robot inferenceworksev-ki-paper-droid, ev-openpi-droid-example, ev-droid-paper
Simulation inferenceno verified evidence—
Teleop + recordno verified evidence—

Caveats

Evidence 4 sources; the cell shows the highest tier

  1. T1 · upstream documentedpapersource 2025-05-29verified 2026-10-24 (1d ago)

    Physical Intelligence's knowledge-insulation paper evaluates π0 (and its own method) on the real-world DROID benchmark in unseen scenes. π0 scored 0.49 ± 0.09 task progress.

    “We also evaluate our generalist on the open source benchmark DROID [23] for the same set of tabletop manipulation tasks as in [37]. Our method received a score of 0.55 ± 0.09, π0 received 0.49 ± 0.09”
    https://arxiv.org/abs/2505.23705
  2. T1 · upstream documentedofficial-docssource 2026-08-24verified 2026-10-24 (1d ago)

    openpi lists the pi0_droid checkpoint (usage: Fine-Tuning).

    “$\pi_0$ model fine-tuned on the [DROID dataset](https://droid-dataset.github.io/): faster inference than $\pi_0$-FAST-DROID, but may not follow language commands as well”
    https://github.com/Physical-Intelligence/openpi/blob/215abfb217dbac7d5f1273282331b9b1866c0479/README.md
  3. T1 · upstream documentedofficial-docssource 2026-08-24verified 2026-10-24 (1d ago)

    openpi DROID example gives a server config for pi0_droid, then the same DROID robot client as for π0.5.

    “uv run scripts/serve_policy.py policy:checkpoint --policy.config=pi0_droid --policy.dir=gs://openpi-assets/checkpoints/pi0_droid”
    https://github.com/Physical-Intelligence/openpi/blob/215abfb217dbac7d5f1273282331b9b1866c0479/examples/droid/README.md
  4. T1 · upstream documentedpapersource 2025-04-22verified 2026-10-24 (1d ago)

    The DROID platform and dataset are built on the Franka Emika Panda.

    “We chose the Franka Emika Panda 7 DoF robot arm as the base of our setup since it is widely adopted in the robot research community, reliable, relatively affordable and was available at most participating institutions.”
    https://arxiv.org/abs/2403.12945v2

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History

  1. 2026-10-25 fecccd1 Initial release: robot policy compatibility matrix · Danilo Znamerovszkij