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Habitat 3.0 is a Meta AI embodied AI simulation platform for studying collaborative human-robot interaction in home environments.

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
Research project
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

Habitat 3.0 is an embodied AI simulation platform from Meta AI for studying collaborative human-robot interaction tasks in home environments. It provides accurate humanoid simulation with diverse avatars and motion, a human-in-the-loop interface using mouse, keyboard or VR, and benchmark tasks for social navigation and social rearrangement. It is intended for reproducible, standardized benchmarking of AI agents alongside real human collaborators.

Scenes

Software & Agent DevelopmentEducation & Research

Product details

Manufacturer / team
Meta AI
Product typei
Platform

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