Instructions to use ASethi04/pi05-BimanualYAM-freshbase-umi-plus-teleop-3demo-ee20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use ASethi04/pi05-BimanualYAM-freshbase-umi-plus-teleop-3demo-ee20 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
pi05-BimanualYAM-freshbase-umi-plus-teleop-3demo-ee20
Fresh-base Pi0.5 trained for 12,000 optimizer steps on all canonical UMI data plus exactly three complete teleop demonstrations.
- base:
lerobot/pi05_base@b211f3d44c36b6acfcf7ae94a64e8e96f75a64ba - UMI dataset:
brandonyang/dual-lidar-umi-independent@a95b079b2b3dc73a912ecd12967f22f825d04fa8 - action: H24 EE20 current-relative SE(3), R6D rows, absolute future gripper
- task:
pick up oranges and place them in the bowl - rotation contraction: none
- state history: none
- variant:
3demo
The bundled evaluation is a matched training-set observation replay, not a held-out or hardware-success claim. Hardware use requires the standard EE-to-IK safety path and operator supervision. Pin the immutable Hub revision rather than main.
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