Skip to main content

Habitat-Lab: a modular high-level library for end-to-end development in Embodied AI.

Project description

CircleCI codecov GitHub license GitHub release (latest by date) Supports Habitat_Sim Python 3.7 pre-commit Code style: black Imports: isort Twitter Follow

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 as the core simulator. For documentation refer here.

Habitat Demo

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

habitat-lab-0.3.20231024.tar.gz (289.0 kB view details)

Uploaded Source

Built Distribution

habitat_lab-0.3.20231024-py3-none-any.whl (419.5 kB view details)

Uploaded Python 3

File details

Details for the file habitat-lab-0.3.20231024.tar.gz.

File metadata

  • Download URL: habitat-lab-0.3.20231024.tar.gz
  • Upload date:
  • Size: 289.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for habitat-lab-0.3.20231024.tar.gz
Algorithm Hash digest
SHA256 08ba10f7d2ace6ae156994d2b4977d5696f09df8a9889c376c43cbd2039bebaf
MD5 6c8fcbb279969040aea11a3d6a8634c3
BLAKE2b-256 337eb0d3347561d3e6a2e236174972b005da1350d7567da1d3ac85aff73f3b08

See more details on using hashes here.

File details

Details for the file habitat_lab-0.3.20231024-py3-none-any.whl.

File metadata

File hashes

Hashes for habitat_lab-0.3.20231024-py3-none-any.whl
Algorithm Hash digest
SHA256 c9a91f0a912c3aac08f96fb7457c5b9046c972adcb33034f699433fcc4ec9c03
MD5 8fc2fa3ee4a6dc57dad330ae6e5c7da9
BLAKE2b-256 f8055f448a19783ca45239dea57e6b24553184f90523206acf3ecaf2033f6d9c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page