facebookresearch/habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Supports diverse task types including navigation, rearrangement, instruction following, and human-in-the-loop interaction, with configurable embodied agents (robots, humanoids) and their sensor suites. Built on Habitat-Sim for physics simulation, it provides training pipelines for single and multi-agent reinforcement/imitation learning plus SensePlanAct evaluation frameworks with standardized benchmarking metrics across task domains.
2,876 stars and 1,403 monthly downloads. Available on PyPI.
Stars
2,876
Forks
641
Language
Python
License
MIT
Category
Last pushed
Feb 21, 2026
Monthly downloads
1,403
Commits (30d)
0
Dependencies
13
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