Simulation assets for
warehouse robots
A typical warehouse has 50,000+ SKUs. Rigyd converts your product catalog into physics-accurate simulation objects with mass, friction, and collision geometry — ready for pick-and-place training.
The problem
Why existing workflows fall short.
Warehouses have infinite object variety
Every box, bottle, bag, and pallet has different weight, friction, and geometry. Manually modeling physics for 50,000+ SKUs is impossible.
Pick-and-place needs accurate physics
Grasping policies fail in the real world when training objects have wrong mass or friction. Physics accuracy directly impacts sim-to-real transfer.
Seasonal inventory changes constantly
New products arrive weekly. Your simulation environment needs to keep pace with actual warehouse inventory.
How Rigyd helps
AI-native infrastructure that automates the hard parts.
Bulk catalog conversion
Upload your entire product 3D catalog. Rigyd adds physics properties to every object — mass from material density, friction from surface identification, collision meshes from geometry.
Calibrated for manipulation
Physics estimates are tuned for robotic grasping and stacking scenarios. Mass accuracy within 15-20% of measured values — well within domain randomization ranges.
API for continuous updates
Enterprise API integrates with your product pipeline. New SKUs get physics annotations automatically as they enter your catalog.
typical SKUs in a single warehouse
saved per 1,000-object simulation setup
cost reduction vs manual physics annotation
Build warehouse simulations at catalog scale
Convert your product 3D models into sim-ready assets with one upload.
Starts at $29/month. 30 sim-ready objects included.
Explore more
SimReady for Isaac Sim
OpenUSD assets validated for NVIDIA Isaac Sim
Models for MuJoCo
Physics-accurate assets for robot learning
Assets for Gazebo
Simulation-ready models for ROS 2
Warehouse Simulation
50,000+ SKUs need physics properties
Humanoid Robots
Whole-body interaction training assets
Sim-to-Real Transfer
Close the gap with accurate physics data