Insider Brief
- NVIDIA GTC 2026 highlighted a broad push into physical AI, with Nvidia and partners outlining a stack spanning models, simulation, data and deployment for robotics at scale.
- Key announcements included new Cosmos world models, Isaac humanoid systems, a Physical AI Data Factory blueprint and expanded integrations with companies such as ABB, Fanuc and Hexagon Robotics.
- The updates reflect a growing focus on unified platforms that combine data pipelines, simulation and hardware to enable real-world deployment across industrial, healthcare and commercial applications.
“Physical AI has arrived — every industrial company will become a robotics company,” Nvidia founder and CEO Jensen Huang proclaimed at Nvidia GTC 2026.
Nvidia GTC 2026 brought together a broad set of announcements across models, simulation, data and deployment, outlining how companies are approaching robotics and physical AI at scale. From Nvidia’s own platform updates to partner integrations across industry, healthcare and entertainment, here are 10 highlights from the company’s annual gathering in San Jose.
1. Nvidia Expands its Robotics Stack with New World Models and Humanoid AI
NVIDIA announced Cosmos 3, updated Isaac simulation tools and Isaac GR00T humanoid models to help developers build, train and deploy robots. The company said more than 110 robotics developers are now working on its platform.
Nvidia said the platform is designed to unify computing, models and software frameworks so companies can move from development to real-world deployment across industrial and commercial environments.
2. Nvidia Introduces a Physical AI Data Factory Blueprint
The company also announced its Physical AI Data Factory blueprint provides an open architecture for generating, augmenting and evaluating training data for robotics and autonomous systems.
The system is designed to reduce the cost and complexity of training physical AI by enabling developers to scale datasets, including rare scenarios that are difficult to capture in real-world environments, according to Nvidia.
3. Nvidia Broadens its Open Models Across Robotics and Healthcare
Nvidia said it is expanding its open model families to support robotics, physical AI and healthcare applications, including Isaac GR00T for humanoids and Cosmos models for physical systems.
The models are intended to help developers build systems that can reason and act across both digital simulations and real-world environments.
4. ABB Targets Industrial Deployment with Digital Twin Integration
ABB is integrating Nvidia Omniverse into its RobotStudio platform, with a HyperReality release expected in 2026, ABB announced.
ABB said the integration is designed to improve sim-to-real accuracy and enable customers to build digital twins of robot systems and production lines, reducing costs and accelerating deployment timelines.
5. Fanuc Focuses on Bridging Simulation and Factory Automation
Fanuc announced it is combining its robotics systems with Nvidia technologies including Isaac Sim, Omniverse and IGX Thor.
The company said the collaboration is intended to help manufacturers deploy intelligent automation faster by improving digital twins, reducing setup time and enabling real-time AI on the factory floor.
6. Hexagon Robotics Pushes Physical AI Into Industrial Environments
Hexagon Robotics said it is using Nvidia’s platform, including Cosmos models and Isaac tools, to advance industrial autonomy and humanoid robotics.
The effort is focused on bringing physical AI into real-world industrial settings with systems designed for practical deployment and human-aware operation.
7. PTC Connects Robot Design Directly to Simulation
PTC said it is linking its Onshape CAD platform with Nvidia Isaac Sim to create a cloud-native design-to-simulation workflow.
The integration allows teams to move from design to simulation quickly and maintain a single source of truth as designs evolve, PTC said.
8. RoboSense Scales LiDAR across Nvidia Ecosystems
RoboSense announced its LiDAR systems are now deployed across Nvidia Jetson, DRIVE and Omniverse platforms, supporting both robotics and automotive applications.
The adoption reflects its role in providing perception systems for physical AI deployments at commercial scale, according tot he company.
9. Techman Robot Introduces a Wheeled Humanoid Platform
Techman Robot said its TM Xplore I combines a humanoid upper body with a mobile base and is powered by Nvidia Jetson Thor.
The system is designed for precision tasks in industries such as semiconductor manufacturing, electronics assembly and automotive production.
10. Disney Showcases Robotics Beyond Industrial Use Cases
Disney said its Olaf robotic character uses Nvidia technologies including Jetson and Omniverse, supported by its Kamino simulation platform.
The system enables faster development of robotic characters by using simulation and reinforcement learning to solve real-world movement and interaction challenges, Disney noted.
Taken together, the announcements show a consistent focus on integrating models, data pipelines, simulation and hardware into unified systems for real-world use. Across vendors and use cases, robotics development is increasingly centered on building and deploying platforms that can operate across environments and applications.
“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,” Huang said.
