π₀.₅ is a Vision-Language-Action model with open-world generalization, from Physical Intelligence. The LeRobot implementation is adapted from their open source OpenPI repository.
π₀.₅ represents a significant evolution from π₀, developed by Physical Intelligence to address a big challenge in robotics: open-world generalization. While robots can perform impressive tasks in controlled environments, π₀.₅ is designed to generalize to entirely new environments and situations that were never seen during training.
This policy has been trained and pushed to the Hub using
LeRobot.
See the full documentation at
LeRobot Docs.
For a complete walkthrough, see the
training guide.
Below is the short version on how to train and run inference/eval:
1lerobot-train \
2 --dataset.repo_id=${HF_USER}/<dataset> \
3 --policy.type=act \
4 --output_dir=outputs/train/<desired_policy_repo_id> \
5 --job_name=lerobot_training \
6 --policy.device=cuda \
7 --policy.repo_id=${HF_USER}/<desired_policy_repo_id>
8 --wandb.enable=true
1lerobot-record \
2 --robot.type=so100_follower \
3 --dataset.repo_id=<hf_user>/eval_<dataset> \
4 --policy.path=<hf_user>/<desired_policy_repo_id> \
5 --episodes=10