Habitat: 3D Indoor Environments for Embodied AI
Habitat simulation platform data: photorealistic 3D indoor environments for embodied AI navigation, rearrangement, and mobile manipulation. Meta AI. Mixed licenses.
Photorealistic 3D buildings for robot navigation, rearrangement, and mobile manipulation. From Meta AI Research.
Mixed Licenses 3D Meshes + GLB Embodied AI
Key Stats
| Metric | Value |
|---|---|
| HM3D | 1,000 photorealistic building scans |
| Matterport3D | 90 building scans |
| Gibson | 572 building scans |
| Benchmarks | PointNav, ObjectNav, Rearrangement, Mobile Manipulation |
| Simulator license | MIT (Habitat-Sim) |
| Data licenses | Varies per scan dataset (research-only for most) |
What is Habitat?
Habitat is Meta AI's embodied AI research platform, consisting of a high-performance 3D simulator (Habitat-Sim, running at 10,000+ FPS) and curated sets of photorealistic indoor 3D environments. The platform hosts several annual challenges on tasks like point-goal navigation (navigate to coordinates), object-goal navigation (find a chair), object rearrangement (put objects in their correct places), and mobile manipulation (pick up objects and move them).
The 3D environments come from three scan datasets: HM3D (1,000 buildings, the largest), Matterport3D (90 buildings, high quality), and Gibson (572 buildings). These provide the photorealistic indoor scenes that embodied agents navigate and manipulate within.
Access
License note: Habitat-Sim is MIT licensed, but the 3D scan datasets require separate agreements and are generally restricted to research use.