Does π0 run on ALOHA (stationary)?
works
Capabilities
| Capability | State | Notes | Evidence |
|---|---|---|---|
| Train / fine-tune | works | ev-openpi-aloha-real | |
| Real-robot inference | works | ev-openpi-readme, ev-openpi-aloha-real | |
| Simulation inference | no verified evidence | — | |
| Teleop + record | no verified evidence | — |
Caveats
- openpi's ALOHA checkpoints were fine-tuned on Physical Intelligence's ALOHA data; upstream warns zero-shot use is experimental and recommends fine-tuning π0 on data from the target robot.
Evidence 4 sources; the cell shows the highest tier
- T1 · upstream documentedofficial-docsverified 2026-10-24 (1d ago)
openpi lists fine-tuned π0 'expert' checkpoints for the ALOHA platform (pi0_aloha_towel, pi0_aloha_tupperware, pi0_aloha_pen_uncap).
“$\pi_0$ model fine-tuned on internal [ALOHA](https://tonyzhaozh.github.io/aloha/) data: can fold diverse towels 0-shot on ALOHA robot platforms”
https://github.com/Physical-Intelligence/openpi/blob/215abfb217dbac7d5f1273282331b9b1866c0479/README.md - T1 · upstream documentedofficial-docsverified 2026-10-24 (1d ago)
openpi's real-ALOHA example: runs π0 checkpoints on an ALOHA setup (tonyzhaozh/aloha hardware, ROS) via a policy server, and documents fine-tuning on your own ALOHA dataset (pi0_aloha_pen_uncap config).
“This example demonstrates how to run with a real robot using an [ALOHA setup](https://github.com/tonyzhaozh/aloha).”
https://github.com/Physical-Intelligence/openpi/blob/215abfb217dbac7d5f1273282331b9b1866c0479/examples/aloha_real/README.md - T1 · upstream documentedpapersource 2024-10-31verified 2026-10-24 (1d ago)
π0 paper: one of the training/evaluation platforms is a bimanual Trossen ViperX setup based on ALOHA.
“Bimanual Trossen. This setup has two 6-DoF Trossen ViperX arms in a configuration based on the ALOHA setup [4, 57], with two wrist cameras and a base camera, and a 14-dimensional configuration and action space.”
https://arxiv.org/abs/2410.24164 - T3 · community reportedhub-checkpointverified 2026-10-24 (1d ago)
LeRobot-format checkpoint: config.json type=pi0; trained on TrossenRoboticsCommunity/aloha_fold_tshirt whose meta/info.json robot_type=aloha (21 episodes). Card tags platform:aloha, robot:stationary, framework:lerobot-latest.
https://huggingface.co/TrossenRoboticsCommunity/pi0-fold-tshirt-aloha
Embed this cell
Badge for READMEs and model cards. It always shows the current state.
[](https://caniembody.pages.dev/compat/aloha/pi0)<iframe src="https://caniembody.pages.dev/embed/aloha/pi0" width="380" height="132" style="border:0" title="π0 on ALOHA (stationary) | CanIEmbody"></iframe>History
- 2026-10-25 fecccd1 Initial release: robot policy compatibility matrix · Danilo Znamerovszkij