Project
Habitat Lab
Meta embodied AI platform focused on navigation, manipulation, and scene understanding.
DatasetFeatured
RoboCasa
Large kitchen sim suite with generative scenes and imitation/RL data.
Why: Reference kitchen sim and data generation stack
Overview
RoboCasa is a large kitchen simulation suite with generative scenes and data for imitation/RL. It targets household kitchen skills at scale—opening appliances, manipulating objects, and language-conditioned tasks in varied layouts.
It is useful when you need more visual and layout diversity than classic tabletop suites, without immediately jumping to photoreal scanned homes.
Who it is for
Household manipulation in sim; generative scene research.
Key highlights
- Kitchen-scale task diversity
- Generative scenes
- IL/RL data pathways
When to use
- Kitchen skills, layout generalization, large sim demos
When not to use
- Industrial assembly lines as the only target
Getting started
- 1Install RoboCasa stack
- 2Train BC on provided demos
- 3Evaluate across generated kitchens
Papers & reading
How it compares
★ 3.1k
Dataset
Meta-World
Classic multi-task manipulation sim benchmark (50 tasks) for meta and multi-task RL.
Caveats & pitfalls
- Check license for generated assets and demos.
Content reviewed 2026-07-23