iGibson is a simulation environment from StanfordVL for training robots in large realistic interactive scenes.

Product passport

Key facts are transcribed from official pages or public documentation. Access and pricing can change, so confirm them before acting.

Category: Robot Development
Maturityi: Available
Deploymenti: Not specified
Purchase access: Public purchase / signup
Official source: Official website
Verifiedi: Not yet verified

Reality check

The useful boundary is what works repeatedly in a real environment—not what looks impressive in a demo.

Works well when

Simulation, control, perception and repeatable experiments
Teams that can manage dependencies and hardware interfaces
Prototyping before committing to a physical deployment

Verify before buying

Supported hardware, GPU requirements and version compatibility
Documentation, examples and community response
How simulation results transfer to the real robot

Not a magic solution

A guarantee that simulation equals a production cell
A replacement for safety validation on hardware
A low-maintenance toolchain without version ownership

About

iGibson is developed by StanfordVL as a simulation environment providing fast visual rendering and physics simulation based on Bullet. It includes fifteen fully interactive high quality scenes, hundreds of large 3D scenes reconstructed from real homes and offices, and compatibility with datasets like CubiCasa5K and 3D-Front for 8000+ additional interactive scenes. Features include domain randomization, motion planner integration, and tools to collect human demonstrations, with iGibson 2.0 adding object states and predicate logic functions. It is used to train and evaluate robotic agents that use visual signals for navigation and manipulation tasks such as opening doors, picking up and placing objects, or searching in cabinets.