NVIDIA Powers Humanoid Robot Industry With Cloud-to-Robot Computing Platforms for Physical AI

• New NVIDIA Isaac GR00T Humanoid Open Models Soon Available for Download on Hugging Face
• GR00T-Dreams Blueprint Generates Data to Train Humanoid Robot Reasoning and Behavior
• NVIDIA RTX PRO 6000 Blackwell Workstations and RTX PRO Servers Accelerate Robot Simulation and Training
• Agility Robotics, Boston Dynamics, Foxconn, Lightwheel, NEURA Robotics and XPENG Robotics Among Many Robot Makers Adopting NVIDIA Isaac

TAIPEI, Taiwan, May 19, 2025 (GLOBE NEWSWIRE) -- COMPUTEX -- NVIDIA today announced , the first update to NVIDIA’s open, generalized, fully customizable foundation model for humanoid reasoning and skills; NVIDIA Isaac GR00T-Dreams, a blueprint for generating synthetic motion data; and NVIDIA Blackwell systems to accelerate humanoid robot development.

Humanoid and robotics developers Agility Robotics, Boston Dynamics, Fourier, Foxlink, Galbot, Mentee Robotics, NEURA Robotics, General Robotics, Skild AI and XPENG Robotics are adopting to advance development and deployment.

“Physical AI and robotics will bring about the next industrial revolution,” said Jensen Huang, founder and CEO of NVIDIA. “From AI brains for robots to simulated worlds to practice in or AI supercomputers for training foundation models, NVIDIA provides building blocks for every stage of the robotics development journey.”

New Isaac GR00T Data Generation Blueprint Closes the Data Gap

Showcased in Huang’s COMPUTEX keynote address, NVIDIA Isaac GR00T-Dreams is a blueprint that helps generate vast amounts of synthetic motion data — aka neural trajectories — that developers can use to teach robots new behaviors, including how to adapt to changing environments.

Developers can first post-train Cosmos Predict (WFMs) for their robot. Then, using a single image as the input, GR00T-Dreams generates videos of the robot performing new tasks in new environments. The blueprint then extracts action — compressed, digestible pieces of data — that are used to teach robots how to perform these new tasks.

The GR00T-Dreams blueprint complements the , which was released at the NVIDIA GTC conference in March. While GR00T-Mimic uses the ™ and ™ platforms to augment existing data, GR00T-Dreams uses Cosmos to generate entirely new data.

New Isaac GR00T Models Advance Humanoid Robot Development

used the GR00T-Dreams blueprint to generate synthetic training data to develop — an update to GR00T N1 — in just 36 hours, compared with what would have taken nearly three months of manual human data collection.

GR00T N1.5 can better adapt to new environments and workspace configurations, as well as recognize objects through user instructions. This update significantly improves the model’s success rate for common material handling and manufacturing tasks like sorting or putting away objects.

Early adopters of GR00T N models include AeiRobot, Foxlink, Lightwheel and NEURA Robotics. AeiRobot employs the models to enable ALICE4 to understand natural language instructions and execute complex pick-and-place workflows in industrial settings. is using them to improve industrial robot manipulator flexibility and efficiency, while Lightwheel is harnessing them to validate for faster humanoid robot deployment in factories. NEURA Robotics is evaluating the models to accelerate its development of household automation systems.

New Robot Simulation and Data Generation Frameworks Accelerate Training Pipelines

Developing highly skilled requires a massive amount of diverse data, which is costly to capture and process. Robots need to be tested in the physical world, which can present costs and risk.

To help close the data and testing gap, NVIDIA unveiled the following simulation technologies:

• , a new WFM that uses chain-of-thought reasoning to help curate accurate, higher-quality training, is now available on .
• , used in GR00T-Dreams, is coming soon to Hugging Face, featuring performance enhancements for high-quality world generation and reduced hallucination.
• , a blueprint for generating exponentially large quantities of synthetic motion trajectories for robot manipulation, using just a few human demonstrations.
• , which now includes 24,000 high-quality humanoid robot motion trajectories used to develop GR00T N models.
• , a simulation and synthetic data generation framework, will soon be openly .
• , an open-source robot learning framework, which will support new evaluation environments to help developers test GR00T N models.

Foxconn and Foxlink are using the GR00T-Mimic blueprint for synthetic motion manipulation generation to accelerate their robotics training pipelines. Agility Robotics, Boston Dynamics, Fourier, Mentee Robotics, NEURA Robotics and XPENG Robotics are simulating and training their humanoid robots using NVIDIA Isaac Sim and Isaac Lab. Skild AI is using the simulation frameworks to develop general robot intelligence, and General Robotics is integrating them into its robot intelligence platform.

Universal Blackwell Systems for Robot Developers

Global systems manufacturers are building workstations and servers, offering a single architecture to easily run every robot development workload across training, synthetic data generation, robot learning and simulation.

Cisco, Dell Technologies, Hewlett Packard Enterprise, Lenovo and Supermicro announced NVIDIA RTX PRO-powered servers, and Dell Technologies, HPI and Lenovo announced .

When more compute is required to run large-scale training or data generation workloads, developers can tap into NVIDIA Blackwell systems like GB200 NVL72 — available with on leading cloud providers and — to achieve up to 18x greater performance for data processing.

Developers can deploy their robot foundation models to the NVIDIA Jetson Thor platform, coming soon — enabling accelerated on-robot inference and runtime performance.

Watch the keynote from Huang and learn more at NVIDIA GTC Taipei.

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Paris Fox

Corporate Communications

NVIDIA Corporation

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