From Simulation to Production: How to Build Robots With AI
The latest open models and frameworks from NVIDIA bring together simulation, robot learning and embedded compute to accelerate cloud-to-robot workflows....
Into the Omniverse: OpenUSD and NVIDIA Halos Accelerate Safety for Robotaxis, Physical AI Systems
Physical AI is moving from research labs into the real world, powering intelligent robots and autonomous vehicles (AVs) — such as robotaxis — that must reliably sense, reason and act...
Into the Omniverse: Open World Foundation Models Generate Synthetic Worlds for Physical AI Development
Physical AI models — which power robots, autonomous vehicles and other intelligent machines — must be safe, generalized for dynamic scenarios and capable of perceiving, reasoning and operating in real...
Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety
Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehicles (AVs) across countless real-world and edge-case scenarios without the risks and costs of physical testing....
NVIDIA Releases New AI Models and Developer Tools to Advance Autonomous Vehicle Ecosystem
Autonomous vehicle (AV) stacks are evolving from many distinct models to a unified, end-to-end architecture that executes driving actions directly from sensor data. This transition to using larger models is...
NVIDIA Unveils Open Physical AI Dataset to Advance Robotics and Autonomous Vehicle Development
Teaching autonomous robots and vehicles how to interact with the physical world requires vast amounts of high-quality data. To give researchers and developers a head start, NVIDIA is releasing a...
Building Smarter Autonomous Machines: NVIDIA Announces Early Access for Omniverse Sensor RTX
Editor’s note: This blog has been updated to reflect that as of July 24, 2025, NVIDIA Omniverse on cloud is being offered as a part of NVIDIA DGX Cloud. Generative...
From Concept to Compliance, MITRE Digital Proving Ground Will Accelerate Validation of Autonomous Vehicles
The path to safe, widespread autonomous vehicles is going digital. MITRE — a government-sponsored nonprofit research organization — today announced its partnership with Mcity at the University of Michigan to...
Safe Travels: NVIDIA DRIVE OS Receives Premier Safety Certification
To make transportation safer, autonomous vehicles (AVs) must have processes and underlying systems that meet the highest standards. NVIDIA DRIVE OS is the operating system for in-vehicle accelerated computing powered...
‘23 and AV: Transportation Industry to Drive Into Metaverse, Cloud Technologies
As the autonomous vehicle industry enters the next year, it will start navigating into even greater technology frontiers. Next-generation vehicles won’t just be defined by autonomous driving capabilities. Everything from...