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NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community

What happened
Based on NVIDIA Newsroom · Jul 07, 2026

NVIDIA and Hugging Face integrate Isaac GR00T 1.7 and Isaac Teleop into LeRobot, enhancing open robotics development with shared models and tools for standardized workflows.

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NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community
NVIDIA Newsroom — NVIDIA
Key points
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Open source AI has shown how quickly developers can innovate when models, data and tools are shared.
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Robotics has the same opportunity, but advancements in physical AI development can still be gated by costly and fragmented resources, from large datasets and robot foundation models to simulation, compute and validation tools.
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Together, these integrations give developers a more accessible and standardized path for end-to-end robot development while driving innovation and collaboration across the open robotics community.
Key numbers
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The collaboration expands access to NVIDIA’s physical AI capabilities for LeRobot’s 16 million AI builders, connecting them with NVIDIA’s 3 million robotics developers.

NVIDIA and Hugging Face are integrating the Isaac GR00T 1.7 open reasoning vision language action model and the Isaac Teleop framework into LeRobot, Hugging Face’s open source robotics library. The move aims to reduce fragmentation in robotics development by providing shared models, datasets, and workflows. Developers gain a standardized path for training, evaluating, and deploying robotics models through open tools.

The collaboration expands access to NVIDIA’s physical AI capabilities for LeRobot’s 16 million AI builders, connecting them with NVIDIA’s 3 million robotics developers. This partnership fosters collaboration by enabling shared data collection, model training, and performance evaluation. The integration supports the full robotics development cycle, from data standardization to deployment.

Hugging Face cofounder and chief science officer Thomas Wolf emphasized the role of open source in advancing research and accessibility. He highlighted that the new integrations allow developers to study, adapt, and build on shared models and workflows. The announcement also teased the future inclusion of NVIDIA Cosmos 3, a frontier model for physical AI.

LeRobot serves as a central hub for training, running, and sharing robotics datasets, models, and policies. By incorporating NVIDIA’s tools, the library provides a unified framework for developers to streamline robotics development. The integrations build on existing NVIDIA resources already connected to LeRobot, further supporting the open robotics community.

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