NVIDIA and Hugging Face integrate Isaac GR00T and Teleop with LeRobot

NVIDIA and Hugging Face are collaborating to bring the NVIDIA Isaac GR00T 1.7 and the NVIDIA Isaac Teleop framework to LeRobot, Hugging Face's open-source robotics library. The companies said they hope to bring NVIDIA Cosmos 3, a frontier model for physical AI, to the platform soon. Isaac GR00T 1.7 is an open, reasoning vision-language-action (VLA) model for humanoid robots.

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. Open-source AI has shown how quickly developers can innovate when models, data, and tools are shared, said the partners. 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.

"Open source is how a field turns advanced research into something people can study, adapt and build on," said Thomas Wolf, co-founder and chief science officer at Hugging Face. "With NVIDIA Isaac GR00T 1.7 and Isaac TeleOp in LeRobot today, robotics developers can use shared models, data, and workflows to train and evaluate robots in the open. And with NVIDIA Cosmos 3 planned next, the community will have a path to bring frontier world models into that same collaborative loop." Hugging Face LeRobot is an open-source robotics library for training, running, and sharing robot datasets, models, policies, and workflows.

NVIDIA's continued partnership with the company connects NVIDIA's 3 million robotics developers with Hugging Face's 16 million AI builders, expanding access to frontier physical AI tools through open workflows. Bringing NVIDIA physical AI capabilities into LeRobot gives developers a common way to collect and standardize data, train and fine-tune robot foundation models, evaluate performance, and deploy models through open workflows. These integrations build on a broader set of NVIDIA resources already connected to LeRobot to support the full robotics development loop.

LeRobot already offers a large open-source physical AI dataset, downloaded more than 15 million times. This dataset includes more than 350,000 real and simulated trajectories and 57 million grasps to help developers kickstart their robotics workflows. It also includes NVIDIA Isaac Sim– and Isaac Lab-based simulation frameworks.

These frameworks are designed for developers to set up environments, generate robot data, test policies, and validate behaviors before moving to physical robots. NVIDIA Isaac Lab-Arena is in LeRobot Environment Hub to enable developers to quickly prototype complex simulation environments, register them in LeRobot EnvHub, and use them within the LeRobot ecosystem to train and evaluate generalist robot policies such as GR00T, Pi, and SmolVLA. In addition, NVIDIA Jetson Thor integration with LeRobot's Reachy 2 supports deployment of VLA models on open-source humanoid robots.