| --- |
| license: cc-by-4.0 |
| pretty_name: Niantic Spatial Real2Sim Sample USDZ Scenes |
| tags: |
| - robotics |
| - physical-ai |
| - simulation |
| - real-to-sim |
| - isaac-sim |
| - isaac-lab |
| - 3d-reconstruction |
| - usdz |
| - usd |
| --- |
| |
| # Niantic Spatial Real2Sim Sample USDZ Scenes |
|
|
| Sample real-world USDZ scenes and particle-field variants from Niantic Spatial for robotics simulation and physical AI workflows. |
|
|
| ## Why this exists |
|
|
| The real world is the best simulation. |
|
|
| This repository contains sample scene assets from Niantic Spatial to help developers evaluate real-to-sim robotics and physical AI workflows in NVIDIA Isaac Sim and Isaac Lab. |
|
|
| ## What's included |
|
|
| This repository includes two representations of the same four sample scenes: |
|
|
| * **NuRec Volume Schema** |
| * Four packaged USDZ sample scenes intended as the primary simulation-ready assets. |
| * **Particle Field Schema** |
| * Four companion sample scenes representing the same environments in a particle-field format. |
|
|
| ## NuRec vs. Particle Field |
|
|
| Both representations come from the same underlying real-world captures, but they are packaged differently. |
|
|
| * **NuRec Volume Schema** is the packaged, NVIDIA-oriented simulation format and the simplest place to start for real-to-sim evaluation in Isaac Sim and Isaac Lab. |
| * **Particle Field Schema** is the companion particle-field representation of the same scenes for developers who want to work with an alternate, more native open 3D scene format. |
|
|
| ## License |
|
|
| This dataset is published under the **CC-BY-4.0** license. |
|
|
| ## About Niantic Spatial |
|
|
| Niantic Spatial builds real-world foundation models for physical AI. |
|
|
| Our technology helps robots, agents, and people understand and operate in physical environments through geometrically accurate 3D reconstruction, precise localization, and spatial understanding. Built on 30+ billion posed real-world images and 25 years of planet-scale mapping and 3D reconstruction leadership, Niantic Spatial serves enterprise use cases across robotics, defense, and oil and gas. |
|
|
| In robotics, we help close the sim-to-real gap with a real-to-sim-to-real workflow: turning fast real-world captures into simulation-ready digital twins for physical AI workflows, including NVIDIA Isaac Sim and Isaac Lab. We also provide precise visual positioning for robotic assets operating indoors, outdoors, and in GPS-denied environments. |
|
|
| Learn more at [nianticspatial.com](https://www.nianticspatial.com). |
