Post-Training Isaac GR00T N1.5 for LeRobot SO-101 Arm
Post-Training Isaac GR00T N1.5 for LeRobot SO-101 Arm
NVIDIA has released the GR00T N1.5 model, a cross-embodiment foundation model for generalized humanoid robot reasoning and skills. The model can be fine-tuned using teleoperation data from a SO-101 arm, with a detailed tutorial provided for developers. The release includes instructions for dataset preparation, fine-tuning, evaluation, and deployment.
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NVIDIA's GR00T N1.5 is a cross-embodiment model for generalized humanoid robot reasoning and skills, adaptable through post-training for specific tasks and environments. The release includes a step-by-step tutorial for fine-tuning using teleoperation data from a SO-101 arm, emphasizing the use of the EmbodimentTag system for customization.
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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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This cross-embodiment model processes multimodal inputs, including language and images, to perform manipulation tasks across diverse environments.
Open source E1
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Source：Hugging Face — Robotics · huggingface.co