Digital twin assets for
Unreal Engine
Create physics-enabled assets for Unreal Engine robotics simulations and digital twins. Automatic physics estimation, collision geometry, and OpenUSD output.
The problem
Why existing workflows fall short.
Physics setup is fragmented
Unreal Engine requires separate physics asset configuration, collision setup, and material assignments. Each asset needs individual attention.
Digital twins need thousands of objects
Factory and warehouse digital twins require massive libraries of physically accurate objects. Manual creation can't keep up.
Sim-to-real accuracy gap
Inaccurate physics parameters in UE simulations lead to policies that fail in the real world. Getting physics right is critical.
How Rigyd helps
AI-native infrastructure that automates the hard parts.
OpenUSD bridge to UE5
Rigyd outputs OpenUSD that imports directly into Unreal Engine 5 via the USD Stage Actor, maintaining physics properties.
Automated collision complexity
Convex decomposition generates collision geometry at configurable complexity — simple hulls for navigation, detailed meshes for manipulation.
Material-based physics
AI identifies materials from mesh geometry and appearance, then assigns calibrated friction, restitution, and density values.
cost reduction in digital twin asset creation
per asset, from upload to sim-ready
better sim-to-real transfer with accurate physics
Build physics-accurate Unreal Engine simulations
Upload 3D models and get simulation-ready assets for UE5 in minutes.
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