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

Documentation in progress

The product identity and source are confirmed, but some specifications or interface details do not yet have citable manufacturer evidence. Missing evidence is not treated as a negative claim.

Product information

Information below comes from the product website or public documentation. Pricing and availability may change.

Category
Robot Development
Maturityi
Available
Deploymenti
Self-hosted
Buying / access
Buy or sign up directly
Source
Official websiteChecked Sep 18, 2026

Reality check

A demo shows what may be possible. These points help judge whether the product fits day-to-day use.

Works well when
  • Simulation, control, perception and repeatable experiments
  • Teams that can manage dependencies and hardware interfaces
  • Prototyping before committing to a physical deployment
What to check
  • 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.

Scenes

Software & Agent DevelopmentEducation & Research

Product details

Manufacturer / team
Stanford Vision and Learning Lab (StanfordVL)
Product typei
Framework
Open sourcePublic API / SDKi

The cost iceberg

The purchase price is only one part of an automation project.

GPU, simulation assets and hardware adapters
Dependencies, datasets and test infrastructure
Version pinning, documentation and support
Sim-to-real gaps and safety validation