facebookresearch/habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
This project helps researchers and engineers design, train, and evaluate intelligent robots or AI agents in virtual indoor environments. You provide virtual 3D environments and task definitions, and it outputs trained agents capable of performing complex actions like navigating, picking up objects, or interacting with humans. It's for robotics researchers, AI developers, and cognitive scientists exploring embodied intelligence.
2,876 stars. Available on PyPI.
Use this if you need a flexible platform to simulate and develop embodied AI agents for various tasks in realistic virtual settings, including human-robot interaction scenarios.
Not ideal if you are looking for a pre-built, ready-to-deploy physical robot control system or a tool for general-purpose machine learning without a strong embodied simulation component.
Stars
2,876
Forks
641
Language
Python
License
MIT
Category
Last pushed
Feb 21, 2026
Commits (30d)
0
Dependencies
13
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