RoboCasa365 Scenes and Object Assets
Provider：UT Austin x NVIDIA Research
RoboCasa365 ships 2,500+ kitchen scenes, 3,200+ interactive objects and articulated furniture, with 600+ hours of human and 1,600+ hours of synthetic demonstrations.
At a glance
- Readiness
- L2 · Semantic & material ready
- Rationale
- Built on RoboSuite/MuJoCo with articulated furniture and appliances and collision/mass properties; 3D assets come from Objaverse, LightWheel and Luma generation with per-asset licenses, hence L2 and mixed.
- Scale
- 2,500+ kitchen scenes / 3,200+ objects (RoboCasa365 (ICLR 2026) reports 2,500 scenes and 3,200+ objects, plus 2,200+ hours of demonstrations (600+ human, 1,600+ synthetic). Checked 2026-10-24.)
- License
- Mixed (check per asset) — Framework and scene code are Apache-2.0; object meshes come from Objaverse 1.0, LightWheel AI and Luma AI generation with per-asset licenses — verify each before commercial use.
- Access
- Open
- Formats
- mjcf · obj
- Runtimes
- mujoco · isaac-sim · sapien
- Physics properties
- Collision geometryMass / inertiaFrictionJoint structureSemantic labels
- Domain
- Solid / Structure
- Published
- 2026-10-24
- Updated
- 2026-10-24
Why it is listed
RoboCasa is a large-scale simulation framework for everyday manipulation tasks; the 365 release scales to 2,500 kitchen environments and 365 tasks.
Readiness assessment
Scenes are built from real-world layouts and styles, then fitted with interactable furniture and appliances; many are articulated, so doors open, knobs twist and burners switch on.
Practical notes
Object assets are curated from Objaverse 1.0, LightWheel AI and text-to-3D generation, and textures can be swapped for domain randomisation.
Disclaimer: license and usage terms follow the official source — verify them yourself before use. This site indexes and links only; it does not host or mirror any asset file.
License and usage terms are those of the official source — verify before use. No asset file is hosted or mirrored on this site.