The Largest Grocery SimReady
Asset Library
2,200+ simulation-ready assets built from real-world capture — not artist approximation. Every physical property measured from the actual object.
Everything You Need to Simulate
Simulation-ready environments and objects in Universal Scene Description (USD) format, built from DreamVu's omnidirectional 3D reconstructions. Drop directly into NVIDIA Isaac Sim or Omniverse — zero conversion overhead.
Complete USD store environments
5 photorealistic digital twin grocery stores — full aisle layouts, checkout areas, stockrooms, and deli counters
2,200+ individual product assets
Grocery items across produce, dairy, packaged goods, and frozen — each with accurate geometry and PBR textures
Physics properties per object
Mass, friction coefficients, deformability, and collision meshes — ready for contact-rich manipulation simulation
Shelf planograms & aisle topology
Real product placement layouts with navigable aisle graphs — matches actual store configurations
Lighting & layout variants
Multiple lighting presets (daylight, fluorescent, night) and seasonal layout configurations per store
SKU & barcode metadata
Product identity, category labels, and barcode data attached to every asset for scan-and-pick training
Grasp point annotations
Pre-computed grasping points and approach vectors for each product asset — accelerates manipulation policy training
Isaac Sim & Omniverse compatible
Native USD/USDA format — load directly into NVIDIA simulation tools with zero conversion overhead
Closing the Domain Gap
The fundamental challenge in robotics simulation is the domain gap — policies trained in simulation fail when deployed on real robots because the simulated environment doesn't match reality. Existing SimReady libraries rely on physics properties that are estimated, computed, or LLM-generated rather than measured from the real objects.
DreamVu's library is the only commercial-grade OpenUSD simulation-asset library purpose-built for grocery retail, and the only library at this scale where every asset originates from omnidirectional 3D capture with lab-measured physics properties.
Each asset is validated end-to-end through DreamVu's production pipeline — from real-world capture through OpenUSD conversion and Isaac Sim verification. Every asset ships with measured mass, friction coefficients, collision meshes, and semantic labels ready for robot manipulation training, sim-to-real transfer, and synthetic data generation.
What's Included
8 product categories — 2,200+ assets across the full grocery store footprint
Bakery, dairy & frozen
Bread, cakes, dairy, eggs, frozen goods, milk, rusk
Branded foods
Beverages, biscuits, snacks, cereals, jams, noodles, sauces, tea & coffee
Fruits
Apples, bananas, mangoes, melons, oranges, exotic & seasonal varieties
Vegetables
Eggplant, cucumbers, carrots, peppers, gourds, onions, potatoes
Dry goods
Flours, lentils, dry fruits, cooking oils, spices, rice, salt, sugar
Household
Kitchen, laundry, paper goods, floor & toilet cleaners, home needs
Personal care
Baby care, hair care, oral care, skin care, health & wellness
General merchandising
Cleaning supplies, electrical, home furnishings, kitchen tools
Built for the NVIDIA Physical AI Stack
Ready to Simulate?
The grocery SimReady USD asset library is available now under DreamVu's commercial license. A free preview pack is available for technical evaluation.