Simulation assets for
humanoid robots

Humanoid robots interact with entire environments. Rigyd generates physics-accurate furniture, tools, appliances, and everyday objects for whole-body manipulation and navigation training.

The problem

Why existing workflows fall short.

Humanoids interact with everything

Unlike single-arm robots, humanoids need to navigate, grasp, push, pull, and manipulate objects across entire rooms. Every object needs physics.

Home environments are complex

Training a humanoid for home tasks requires thousands of diverse objects — furniture, kitchen items, tools, electronics — all with accurate physical properties.

Whole-body contact is unforgiving

Humanoid locomotion and manipulation involve full-body contacts. Inaccurate object physics leads to unrealistic fall recovery and interaction behaviors.

How Rigyd helps

AI-native infrastructure that automates the hard parts.

Full environment object sets

Convert entire 3D catalogs of household and industrial objects. Every item gets mass, friction, restitution, and collision geometry for realistic interaction.

Furniture-scale collision meshes

From chairs to refrigerators, Rigyd generates collision geometry that captures functional surfaces — seat shapes, handle positions, shelf clearances.

Semantic labels included

Each asset gets semantic labels and material identification, enabling perception-in-the-loop training and scene understanding tasks.

40%

better real-world transfer with accurate synthetic training

$370K

saved per 1,000-object environment build

1,000

SimReady assets exist today — humanoids need 10x that

Build environments your humanoid can learn from

Upload household 3D models and get physics-accurate training assets in minutes.

Starts at $29/month. 30 sim-ready objects included.