Resources
sim-to-real
Sim-to-real transfer: why physics accuracy matters more than visual fidelity
The sim-to-real gap is overwhelmingly a physics problem, not a rendering problem. Here's the research, the failure modes, the calibration ranges that actually matter, and why investing in physics accuracy beats investing in photorealism for most robotics policies.
isaac-sim
Isaac Sim asset requirements and best practices
NVIDIA Isaac Sim expects assets in a specific format: OpenUSD with USDPhysics schemas, calibrated mass and inertia, convex collision meshes, semantic labels, and validated material bindings. This is the practical checklist.
simready
How to create SimReady assets without manual modeling
Building a SimReady asset by hand takes ~4 hours and requires Blender, V-HACD, and USDPhysics expertise. AI-driven asset preparation collapses the workflow to about 5 minutes per asset. Here's how the automated pipeline works and when to use it.
openusd
What is OpenUSD and why does it matter for robotics
OpenUSD is the 3D scene description format Pixar built for film and NVIDIA scaled for robotics. This guide explains the architecture, the USDPhysics schemas, and why USD beats SDF/URDF/MJCF for modern simulation pipelines.
physics
How to add physics properties to 3D models for simulation
Adding physics — mass, friction, collision meshes, inertia — is the bottleneck in robotics simulation. Here's the manual workflow, the AI-automated alternative, and a step-by-step guide for both.