Simulation

Procedural Generation

Procedural generation is the algorithmic creation of simulation content, including scene layouts, object arrangements, textures, and task variations, rather than hand-authoring each environment. Systems such as ProcTHOR generate thousands of household layouts, and RoboCasa combines procedural kitchens with generative-AI-created assets. It extends domain randomization from perturbing parameters to synthesizing structurally novel environments at scale.

Why it matters for physical AI

Diversity of training environments is a primary driver of policy generalization, and procedural pipelines are the only practical way to produce the millions of distinct scenes large-scale simulation training consumes.