Simulation-ready models for
MuJoCo
Convert 3D assets into models with accurate physics properties for MuJoCo. AI estimates mass, friction, contact parameters, and generates collision geometry automatically.
The problem
Why existing workflows fall short.
MuJoCo XML authoring is manual
Defining geoms, bodies, and joints with accurate physical parameters in MJCF XML requires domain expertise and per-object tuning.
Physics estimation guesswork
Estimating mass, friction, and contact parameters for arbitrary objects is time-consuming. Inaccurate values lead to unrealistic sim behavior.
Scaling object diversity
Training generalizable manipulation policies needs thousands of varied objects. Creating each one manually doesn't scale.
How Rigyd helps
AI-native infrastructure that automates the hard parts.
AI-powered contact parameters
Rigyd estimates friction, restitution, and condim values using material identification — calibrated for MuJoCo's contact model.
Accurate mass and inertia
Volume estimation combined with material density lookup produces mass and inertia values within domain randomization variance ranges.
Bulk object generation
Convert entire object datasets at once. Enterprise API supports high-throughput pipelines for building diverse training object sets.
faster than manual physics annotation
mass accuracy vs measured (within DR ranges)
saved per 1,000-object project
Build better MuJoCo training environments
Upload a 3D model and get physics-accurate assets for MuJoCo in minutes.
Starts at $29/month. 30 sim-ready objects included.
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