habitat-lab


Namehabitat-lab JSON
Version 0.3.220241031 PyPI version JSON
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home_pagehttps://aihabitat.org
SummaryHabitat-Lab: a modular high-level library for end-to-end development in Embodied AI.
upload_time2024-10-31 01:01:34
maintainerNone
docs_urlNone
authorMeta AI Research
requires_pythonNone
licenseMIT License
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls. 
            
[![CircleCI](https://circleci.com/gh/facebookresearch/habitat-lab.svg?style=shield)](https://circleci.com/gh/facebookresearch/habitat-lab)
[![codecov](https://codecov.io/gh/facebookresearch/habitat-lab/branch/main/graph/badge.svg)](https://codecov.io/gh/facebookresearch/habitat-lab)
[![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/facebookresearch/habitat-lab/blob/main/LICENSE)
[![GitHub release (latest by date)](https://img.shields.io/github/v/release/facebookresearch/habitat-lab)](https://github.com/facebookresearch/habitat-lab/releases/latest)
[![Supports Habitat_Sim](https://img.shields.io/static/v1?label=supports&message=Habitat%20Sim&color=informational&link=https://github.com/facebookresearch/habitat-sim)](https://github.com/facebookresearch/habitat-sim)
[![Python 3.7](https://img.shields.io/badge/python-3.7-blue.svg)](https://www.python.org/downloads/release/python-370/)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://timothycrosley.github.io/isort/)
[![Twitter Follow](https://img.shields.io/twitter/follow/ai_habitat?style=social)](https://twitter.com/ai_habitat)

Habitat-Lab
==============================

Habitat-Lab is a modular high-level library for end-to-end development in embodied AI --
defining embodied AI tasks (e.g. navigation, rearrangement, instruction following, question answering),
configuring embodied agents (physical form, sensors, capabilities), training these agents (via imitation
or reinforcement learning, or no learning at all as in SensePlanAct pipelines), and benchmarking their
performance on the defined tasks using standard metrics.

Habitat-Lab uses [`Habitat-Sim`](https://github.com/facebookresearch/habitat-sim) as the core simulator.
For documentation refer [here](https://aihabitat.org/docs/habitat-lab/).

[![Habitat Demo](https://img.shields.io/static/v1?label=WebGL&message=Try%20AI%20Habitat%20In%20Your%20Browser%20&color=blue&logo=webgl&labelColor=%23990000&style=for-the-badge&link=https://aihabitat.org/demo)](https://aihabitat.org/demo)

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Meta AI Research
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