Nvidia has announced that Isaac GR00T N1 — the company’s open-source, pretrained but customizable foundation model that’s designed to expedite the development and capabilities of humanoid robots — is now available. “The age of generalist robotics is here,” says Nvidia founder and CEO, Jensen Huang. “With Nvidia Isaac GR00T N1 and new data-generation and robot-learning frameworks, robotics developers everywhere will open the next frontier in the age of AI.”
Nvidia says ‘the age of generalist robotics is here’
At GTC 2025, Nvidia demonstrated 1X’s NEO Gamma humanoid robot running its GR00T N1 foundation model.
During his GTC 2025 keynote today, Huang demonstrated 1X’s NEO Gamma humanoid robot performing autonomous tidying jobs using a post-trained policy built on the GR00T N1 model. “The future of humanoids is about adaptability and learning,” says 1X Technologies CEO Bernt Børnich. “While we develop our own models, NVIDIA’s GR00T N1 provides a significant boost to robot reasoning and skills. With minimal post-training data, we fully deployed on NEO Gamma — advancing our mission of creating robots that are not just tools, but companions capable of assisting humans in meaningful, immeasurable ways.”
You might recall seeing this freakishly lifelike bot a few weeks ago in Nothing’s teaser for its latest phone. We didn’t post it because it looked like another human in a robot suit — thanks, Elon.
Other companies developing humanoid robots who have had early access to the GR00T N1 model include Boston Dynamics, the creators of Atlas; Agility Robotics; Mentee Robotics; and Neura Robotics.
Originally announced as Project GR00T a year ago, the GR00T N1 foundation model utilizes a dual-system architecture inspired by human cognition.
System 1, as Nvidia calls it, is described as a “fast-thinking action model” that behaves similarly to human reflexes and intuition. It was trained on data collected through human demonstrations and synthetic data generated by Nvidia’s Omniverse platform.
System 2, which is powered by a vision language model, is a “slow-thinking model” that “reasons about its environment and the instructions it has received to plan actions.” Those plans are passed along to System 1, which translates them into “precise, continuous robot movements” that include grasping, moving objects with one or two arms, as well as more complex multistep tasks that involve combinations of basic skills.
While the GR00T N1 foundation model is pretrained with generalized humanoid reasoning and skills, developers can customize its behavior and capabilities for specific needs by post-training it with data gathered from human demonstrations or simulations.
Nvidia has made GR00T N1 training data and task evaluation scenarios available for download through Hugging Face and GitHub.
Update, March 19th: Updated comment from 1X Technologies CEO Bernt Børnich.