Earlier this week, NVIDIA announced NVIDIA Cosmos 3, the open frontier model for physical AI and the world’s first full omnimodel unifying vision reasoning, world and action generation. Leading across the open model public leaderboards central to physical AI, the world foundation model provides core capabilities for physical AI development. NVIDIA physical AI skills pair with Cosmos, NVIDIA libraries and simulation frameworks to help researchers move from model capabilities to scalable end-to-end workflows faster than ever.

For AV researchers, the problem is the “long tail” of driving — rare interactions, unusual road geometry, lighting changes and edge-case behaviors that are difficult to repeatedly collect, but critical for training and validation.

Neural Reconstruction skill demo in OpenClaw, showing a video re-rendered from an elevated virtual sensor viewpoint.

With NVIDIA autonomous vehicle skills, researchers and developers can task AI agents to automate workflows for scene reconstruction from fleet data and generate synthetic scenarios. Neural Reconstruction skills help AI agents turn fleet-captured data into editable 3D scenes for simulation and synthetic data generation, while technologies including NVIDIA Omniverse NuRec, InstantNuRec, Harmonizer and HiGS accelerated renderer help accelerate reconstruction, improve scene realism and generate new views.