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Onol/pi05-piper-throw-into-tank-replay40-lora
pi05-piper-throw-into-tank-replay40-lora is a robotics model from Onol. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for openpi. The card lists the license as apache-2.0.
OpenPI/JAX LoRA checkpoint trained only on the 40 demonstrations from ThrowIntoTankCleanBackgroundReplayCurrentCamera (15,658 frames). These action replays were recorded with the current camera setup; episode 032 is t…
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Updated Aug 21, 2026
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From the Hugging Face model README
OpenPI/JAX LoRA checkpoint trained only on the 40 demonstrations from
Throw_Into_Tank_Clean_Background_Replay_Current_Camera (15,658 frames). These
action replays were recorded with the current camera setup; episode 032 is the
hash-verified corrected teleoperation from Throw01_episode32_fixing. The older
Throw_Into_Tank01 and the _2, _3, _4 sessions are not part of this run.
No demonstrations were held out from training. The fixed task prompt is
throw the object into the tank.
[R_j1..j6, R_gripper] (7-D).[0, 0.08] meters.Use the bundled OpenPI overlay and configuration
pi05_piper_throw_tank_replay40_lora. Normalization statistics under assets/ are required.
The validation/ directory contains pipeline smoke reports; these test checkpoint
loading and inference integrity, not real-robot task success.
Validate with conservative robot-side safety limits before commanding hardware.