Nvidia, Hugging Face expand LeRobot with open robotics AI tools

Nvidia and Hugging Face are consolidating their respective developer ecosystems to accelerate adoption of physical AI—the application of AI models to real-world robotics tasks. LeRobot, Hugging Face's open-source robotics library, already provided a framework for developing and sharing robot datasets and models. By integrating Nvidia's foundation models and development frameworks, the partnership removes friction points in the robot development pipeline: data collection (via Isaac Teleop), model training and evaluation (via Isaac GR00T 1.7), and deployment (via Jetson Thor support on Reachy 2). The planned integration of Nvidia Cosmos 3, a world foundation model, will further extend this by allowing synthetic data generation and environment simulation—addressing one of robotics' most persistent challenges, the cost and difficulty of collecting diverse real-world training data.

The collaboration explicitly frames open source as the vehicle for translating research into accessible tools. Thomas Wolf emphasized that openness allows the field to "study, adapt and build on" advanced work. By combining Nvidia's three million robotics developers with Hugging Face's 16 million AI developers, the partnership broadens the addressable audience for physical AI and creates a shared ecosystem where models, datasets, and workflows can be reused across different robot types and applications.