NVIDIA, via ABB Robotics (top left), Skild AI (bottom left), Humanoid (top right) and Universal Robotics (bottom right)
NVIDIA made several announcements at GTC 2026 geared toward bringing physical AI to the real world.
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NVIDIA, via ABB Robotics (top left), Skild AI (bottom left), Humanoid (top right) and Universal Robotics (bottom right)
NVIDIA made several announcements at GTC 2026 geared toward bringing physical AI to the real world.
At NVIDIA GTC 2026, NVIDIA said that is partnering with the global robotics ecosystem - including leading robot brain developers, industrial robot giants and humanoid pioneers - to power production-scale physical AI.
The company also unveiled new NVIDIA Isaac simulation frameworks along with new NVIDIA Cosmos and NVIDIA Isaac GR00T open models that it said can be used for the industry to develop, train and deploy the next generation of intelligent robots.
Industry leaders building on the NVIDIA platform include:
“Physical AI has arrived - every industrial company will become a robotics company,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA’s full-stack platform - spanning computing, open models and software frameworks - is the foundation for the robotics industry, uniting a worldwide ecosystem to build the intelligent machines that will power the next generation of factories, logistics, transportation and infrastructure.”
As industrial robotics becomes more AI-driven, NVIDIA said that robot manufacturers need physically accurate, high-fidelity simulation to design, test and optimize systems before deployment.
With a global install base exceeding 2 million robots, FANUC, ABB Robotics, YASKAWA and KUKA are integrating NVIDIA Omniverse libraries and NVIDIA Isaac simulation frameworks into their virtual commissioning systems to develop and validate complex robot applications and entire production lines through physically accurate digital twins. To power advanced intelligence on the production line, NVIDIA said that the companies are integrating NVIDIA Jetson modules into their controllers for real-time AI inference at the edge.
NVIDIA said that robotics is evolving from task-specific machines to adaptable generalist-specialist systems that maintain the precision and reliability required for industrial-grade deployment. To achieve this, NVIDIA said that robots need humanlike reasoning and the ability to perceive, decide and act autonomously.
Developers such as FieldAI and Skild AI are building generalized robot brains using NVIDIA Cosmos world models for data generation and Isaac simulation frameworks to validate policies in simulation, enabling any robot to master new tasks with minimal retraining.
World Labs is using Isaac Sim to validate its generative world models, while Generalist AI is using Cosmos to explore generating synthetic data.
NVIDIA announced Cosmos 3 at GTC 2026, which it said is the first world foundation model unifying synthetic world generation, vision reasoning and action simulation to accelerate the development of generalized robot intelligence for complex environments.
NVIDIA said that the following organizations are building the next generation of humanoids using Cosmos world models, Isaac Sim and Isaac Lab to accelerate the development and validation of their robots:
NVIDIA introduced Isaac Lab 3.0 in early access at GTC 2026, which it said enables faster, large-scale robot learning on NVIDIA DGX-class infrastructure. Built on the new Newton physics engine 1.0 and the NVIDIA PhysX software development kit, NVIDIA said that it adds multiphysics simulation and improved support for complex, dexterous manipulation.
AGIBOT, Humanoid, LG Electronics, NEURA Robotics and Noble Machines are also adopting NVIDIA Isaac GR00T N models to accelerate industrial deployments of their humanoids. NVIDIA announced that GR00T N1.7 is now available in early access with commercial licensing, which the company said brings generalized robot skills, including advanced dexterous control, to production-ready robot deployments.
During his GTC keynote, Huang previewed GR00T N2, which he called a next-generation robot foundation model based on DreamZero research. Built on a new world action model architecture, NVIDIA said that the model helps robots succeed at new tasks in new environments more than twice as often as leading vision language action models.
To learn more about these announcements and see how NVIDIA is expanding physical AI capabilities to healthcare robotics, read the full blog here.
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