A 3D Asset Library for Embodied AI Training
What Motphys delivers isn't a batch of 3D models that merely look right — it's SimReady assets that plug straight into simulation.
What is a SimReady asset
A SimReady asset is a standardized 3D asset built for simulation that can be imported straight into a simulation engine and used as-is. A qualified SimReady asset meets four core properties:
Physically real
Models, materials and physics can be parsed by the engine; mass, friction, collision bodies and other physical properties are all in place.
Functionally usable
Doors, drawers and lids open and pour; grasp points are pre-placed for grippers and dexterous hands, responding reliably to simulation commands.
Visually consistent
Textures and lighting match design intent without distortion.
Computationally efficient
Topology and poly-count are optimized for large-scale parallel training.
Covering the high-frequency scenes of embodied work
From retail stores and living spaces to industrial warehouses — every scene is built to a trainable standard, with objects equipped with physics and interaction properties, ready for policy training and data generation.
Retail
Home
Logistics
From household goods to industrial precision
Object assets span everyday items and industrial standard parts, each modeled to real dimensions, materials and physical properties — ready for manipulation and contact simulation.
Broad coverage
From furniture and kitchenware to screws, nuts, bearings and gears, all the way to aerospace recovery and escalators.
Physically real
Every object carries real mass, friction and collision properties — accurate in load, motion and gear-mesh computation.
Manipulable
Graspable objects are annotated with grasp points for grippers and dexterous hands.
Bring real scenes into simulation
From photos of a real scene, reconstruct a 3D scene that matches the site's appearance and turn it into a simulatable, interactive SimReady asset — no modeling from scratch, so training environments align with reality fast.
Left: MotrixSim reconstruction · Right: real photo
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