LeRobot: π₀.₅ Model Release for Vision-Language-Action Tasks
lerobot/pi05_libero_finetuned_v044
LeRobot releases π₀.₅, a Vision-Language-Action (VLA) model with open-world generalization capabilities, trained on robot demonstrations and multimodal data. The model supports flow-matching for action prediction and is intended for fine-tuning on specific use cases. It is available for inference and training with detailed documentation and example code.
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The release introduces π₀.₅, a Vision-Language-Action (VLA) model designed for open-world generalization in robotics, trained on both robot demonstrations and multimodal data. It supports flow-matching for action prediction but lacks some components from the original work, such as subtask prediction and reinforcement learning. The model is intended for fine-tuning on specific use cases and is made
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Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
What remains unknown
Not established in the collected evidence: Environment, Control, Data origin.
Reported performance applies to the described task. It does not establish general autonomy or deployment readiness.
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You can evaluate the model in Libero environment.
Open source E1
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Source：LeRobot — Model repository updates · huggingface.co