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Scale AV Perception Across Vehicle Platforms with NVIDIA Omniverse NuRec

Figure showing the original view and the new view after using NuRec to re-render a video.A perception stack is shaped by the vehicle that carries it. Move the same software to a new carline—for example, from an SUV to a sedan or another vehicle...Figure showing the original view and the new view after using NuRec to re-render a video.

A perception stack is shaped by the vehicle that carries it. Move the same software to a new carline—for example, from an SUV to a sedan or another vehicle variant in the portfolio—and its perception of the world changes. The sensor placement, calibration, fields of view, occlusions, body geometry, timing, and coverage all shift. A traffic light may appear in a different part of the frame.

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Kodiak AI and AMD collaborate to advance computing power for driverless trucking

Kodiak AI, a provider of physical AI-powered autonomous driving technology, has announced a collaboration with chipmaker AMD to implement its AMD EPYC Series processors to power Kodiak’s seventh-generation autonomous truck platform. Kodiak is the first company to deploy the advanced AMD EPYC processors into their hardware platform for driverless trucking. High-performance AMD EPYC Series CPUs […]
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Waymo reveals Nvidia-powered compute system behind its robotaxis

Waymo has revealed new technical details about the onboard computing system that powers its autonomous driving technology, including a purpose-built 5 nm ASIC delivering more than 1,000 TOPS of machine learning performance. The company says its latest compute architecture is designed to provide millisecond-level response times while operating under the vibration, temperature extremes and other […]
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LG to unveil new Nvidia-powered humanoid robot in early 2027

South Korean electronics giant LG is developing a next-generation bipedal humanoid robot built using Nvidia Isaac GR00T, Nvidia’s open reasoning humanoid foundation model, for a public unveiling in the first quarter of next year. LG and Nvidia signed a memorandum of understanding on August 13 at Nvidia’s headquarters in Santa Clara, California, with chairman and […]
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How AI and self-driving labs could accelerate semiconductor materials discovery

By Joseph F. Krause, co-founder and CEO, Radical AI The next great semiconductor breakthrough will come down to new materials, not just engineering. The field is running into multiple walls of physics: the minimum wavelength of visible light, carrying current with less than an electron, electrical insulators with high thermal transport. As linewidths shrink below […]
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Einride and DAF partner to accelerate scale-up of autonomous electric freight

Einride, a technology company driving the shift to cost-efficient autonomous and electric freight, and DAF Trucks, a giant in truck manufacturing, have announced a joint initiative to integrate Einride’s autonomous driving system, Einride Driver, into DAF’s premium vehicle platform. The collaboration marks a significant step toward the large-scale commercialization of SAE Level 4 autonomous electric […]
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China racing ahead in autonomous car adoption, says new report

China is the country most prepared for self-driving cars, according to a new report. The new study by the B2B car company eCarsTrade analyzed robotaxi deployment, road infrastructure, legal frameworks, and public sentiment across 15 countries to see which nations are actually putting driverless vehicles on the road. Driven by massive robotaxi deployment, nearuniversal 5G […]
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PlusAI reaches ‘93.4 percent safety readiness’ ahead of autonomous truck launch

PlusAI says it has reached 93.4 percent “Safety Case Readiness” as the autonomous trucking company moves toward the planned commercial launch of factory-built driverless trucks in 2027. The company has published updated performance figures for the first half of 2026, showing improvements in safety validation, autonomous driving and the number of journeys completed without assistance […]
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Cold calling: How autonomous robots are transforming polar science in the Arctic and Antarctic

The British Antarctic Survey says autonomous vehicles are ‘transforming polar science’ A robot is cruising beneath Antarctic sea ice. Another is bolted to the face of a collapsing Greenland glacier. A third is silently counting penguins on a remote, windswept beach. None of them has a human operator nearby. Across the Arctic and Antarctic, autonomous […]
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Dubai and Oxa launch autonomous logistics venture to deploy self-driving vehicles at ports and airports

Dubai Future Foundation (DFF) and Oxa, a developer of autonomous vehicle technology, has announced the launch of SHIFFT, a joint venture that will establish Dubai as a global hub for autonomous logistics. SHIFFT will incorporate self-driving technology into a fully integrated autonomous logistics and worksite intelligence product, enabling end-to-end operational deployment. It will unlock productivity, […]
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Atlas Energy to expand Kodiak-powered autonomous truck fleet to 100 vehicles by 2027

Atlas Energy Solutions has expanded its autonomous truck operations in the Permian Basin, advancing its commitment to unlocking energy by digitally transforming oilfield logistics. Working with Kodiak AI, a provider of physical AI-powered autonomous driving technology, Atlas is expanding its driverless proppant delivery program to a second simultaneous load-out point along its 42-mile Dune Express sand […]
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Integrate NVIDIA Omniverse RTX Sensor Simulation Into Existing Apps

Developers building 3D, design, simulation, robotics, and industrial digital twin applications need ways to bring physical AI capabilities into the tools and...

Developers building 3D, design, simulation, robotics, and industrial digital twin applications need ways to bring physical AI capabilities into the tools and services they already use. Many of these workflows already depend on OpenUSD scenes, simulation-ready (SimReady) assets, Blender-based workflows, CAD pipelines, or domain-specific app stacks. The challenge is how to provide applications and…

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Optimizing a Neural Reconstruction Pipeline Using NVIDIA Nsight Developer Tools

NVIDIA Omniverse NuRec is a neural reconstruction pipeline for building high-fidelity 3D representations of real-world environments from multisensor data such...

NVIDIA Omniverse NuRec is a neural reconstruction pipeline for building high-fidelity 3D representations of real-world environments from multisensor data such as cameras and lidar. It is used to reconstruct dynamic scenes captured by autonomous vehicle (AV) and robotics platforms into simulation-ready digital environments that can be rendered, replayed, and analyzed inside NVIDIA Omniverse and…

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Accelerating BEV Pooling on NVIDIA GPUs for Physical AI Applications

An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird's-eye-view (BEV) perception. BEV models project...

An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird’s-eye-view (BEV) perception. BEV models project multicamera image features into a shared top-down grid, providing downstream perception and planning modules with a common spatial layout for reasoning about lanes, vehicles, pedestrians, and free space. A key operation in this pipeline…

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Inside NVIDIA Halos for Robotics: A Full-Stack Functional Safety System for Physical AI

Physical AI—robots working autonomously alongside people in factories, warehouses, hospitals, and homes—is arriving faster than most expected. Traditional...

Physical AI—robots working autonomously alongside people in factories, warehouses, hospitals, and homes—is arriving faster than most expected. Traditional safety which was built for structured environments can not work anymore as the spaces become more unstructured and robots move out of cages. AI-driven safety is the key. Marking a major milestone in the arrival of physical AI…

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How to Post-Train Autonomous Vehicle Models in Closed-Loop with NVIDIA Alpamayo

Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can...

Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can reason over more complex driving scenes and produce richer intermediate reasoning are predominantly trained in open-loop, where model outputs are directly compared to ground-truth behaviors without considering their effect on the environment.

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