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  • NVIDIA Project GR00T

    Generalist Robot 00 Technology

    Project GR00T is an initiative to develop general-purpose foundation models for humanoid robots that take multimodal instructions and past interactions as input and output robot actions. These advanced models are modular, with systems for both high-level reasoning and planning and low-level fast, accurate, and reactive motion.

    Project GR00T is an active research project. If you are a humanoid robot maker, robot software/ hardware vendor, request early access.

    Apply for Early Access


    See GR00T in Action


    Next-Gen Robots, Powered by NVIDIA

    Building Robotic Systems With Three Computers

    Project GR00T uses every part of NVIDIA’s three-computer robotics stack. This includes NVIDIA AI and DGX for training the model, NVIDIA Isaac Lab for reinforcement learning, and the NVIDIA Jetson Thor high-performance computing platform, designed for humanoid robots, with Isaac ROS for accelerated robot runtime.

    Building Robotics Systems with Three Computers
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    AI

    NVIDIA DGX

    NVIDIA DGX Cloud is an end-to-end AI platform for developers, giving you scalable capacity built on the latest NVIDIA architecture and co-engineered with the world’s leading cloud service providers.

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    Simulation

    NVIDIA Isaac Lab

    This lightweight reference application is built on the NVIDIA Omniverse platform that’s specifically optimized for robot learning and is pivotal for robot foundation model training. It optimizes for reinforcement, imitation, and transfer learning and is capable of training all types of robot embodiments.

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    Runtime

    Isaac ROS on Jetson Thor

    NVIDIA Isaac ROS is a collection of accelerated computing packages and AI models designed to streamline and expedite the development of advanced AI robotics applications. For humanoids, Isaac ROS is deployed on Jetson Thor, optimized for fast, humanoid cognition and action.


    How It Works

    Workflow for GR00T model training

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    Model Operation

    Project GR00T enables humanoid embodiments to perform tasks from multimodal instructions and dynamically react to the world through self-observation.

    Development and Training

    The model uses multimodal learning from a variety of data sources—including instructions, demonstrations, video, and imitation learning for robots—to acquire new skills, accelerating the development of humanoid robots.

    NVIDIA Isaac Lab is ideal for training Project GR00T at scale. You can also take advantage of the NVIDIA OSMO robot cloud computing orchestration service to coordinate workflows across NVIDIA DGX systems for training, NVIDIA OVX systems for simulation, and NVIDIA IGX systems for hardware-in-the-loop validation.

    Workflow for Isaac Lab, OSMO Service, and GR00T model

    Click to Enlarge


    Ecosystem


    More Resources

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    Explore the Community

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    Get Training and Certification

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    Meet the Program for Startups

      Accelerate Your Humanoid Development

      Apply for the NVIDIA Humanoid Robot Developer Program.

      Get Started

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