README.md

metadata

title: Try Pi05
emoji: 🖼️
colorFrom: yellow
colorTo: red
sdk: static
pinned: false
license: wtfpl
short_description: 试玩pi0.5里面的4中LEBERO任务

LIBERO single-task demo

Date: 2026-08-25

Result

• Checkpoint: pi05_libero
• Task suite: libero_spatial
• Task id: 9
• BDDL: pick_up_the_black_bowl_on_the_wooden_cabinet_and_place_it_on_the_plate.bddl
• Policy server: existing OpenPI server on 127.0.0.1:8000
• Result: done=True / success
• Rollout: 174 frames, 17.4 seconds at 10 FPS

Artifacts

• videos/single_success.mp4
• videos/mid_frame.jpg
• logs/single_task.log
• libero_config/config.yaml
• libero_single_task.py
• openpi_libero_helpers.py

Additional suites

• libero_object, task 0 (pick_up_the_alphabet_soup_and_place_it_in_the_basket.bddl): done=True, 155 frames, videos/libero_object_success.mp4.
• libero_goal, task 0 (open_the_middle_drawer_of_the_cabinet.bddl): done=True, 114 frames, videos/libero_goal_success.mp4.
• libero_10, task 0 and a retry with task 1: both completed the rollout horizon with done=False; the latest result is videos/libero_10_failure.mp4. Logs are logs/libero_10.log and logs/libero_10_retry.log.

Environment notes

The official LIBERO source was downloaded from: https://github.com/Lifelong-Robot-Learning/LIBERO

The existing OpenPI source and checkpoint were reused. No OpenPI source files were edited. The legacy LIBERO init-state loader calls torch.load without weights_only=False, which fails with the installed PyTorch 2.6 behavior. The runner handles this in its own code with weights_only=False for the trusted official init-state file.

The datasets directory is not needed for this inference rollout; BDDL files, init states, and simulation assets are present.