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Habitat-Sim download for Linux

Free download Habitat-Sim Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named Habitat-Sim whose latest release can be downloaded as v0.3.3sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Habitat-Sim with OnWorks for free.

Suivez ces instructions pour exécuter cette application :

- 1. Téléchargé cette application sur votre PC.

- 2. Entrez dans notre gestionnaire de fichiers https://www.onworks.net/myfiles.php?username=XXXXX avec le nom d'utilisateur que vous voulez.

- 3. Téléchargez cette application dans ce gestionnaire de fichiers.

- 4. Démarrez l'émulateur en ligne OnWorks Linux ou Windows en ligne ou l'émulateur en ligne MACOS à partir de ce site Web.

- 5. Depuis le système d'exploitation OnWorks Linux que vous venez de démarrer, accédez à notre gestionnaire de fichiers https://www.onworks.net/myfiles.php?username=XXXXX avec le nom d'utilisateur que vous souhaitez.

- 6. Téléchargez l'application, installez-la et exécutez-la.

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Habitat-Sim


DESCRIPTION

Habitat-Sim is a high-performance 3D simulator for embodied AI research, designed to run photorealistic indoor environments at thousands of frames per second. It offers GPU-accelerated rendering and a flexible sensor suite—RGB, depth, semantic segmentation, and more—so agents can perceive and act in realistic scenes. The engine is written in C++ with Python bindings and integrates physics, navigation meshes, and shortest-path planners to support tasks like point-goal navigation, rearrangement, and interactive manipulation. It ships with connectors to popular datasets and scene formats, plus tools for dataset generation and scene replay. Determinism and reproducibility are first-class goals, which is critical for benchmarking agents and comparing algorithms. Thanks to its speed and modular design, Habitat-Sim is widely used to prototype embodied agents, train at scale, and evaluate in standardized environments with consistent metrics.



Comment ça marche

  • GPU-accelerated renderer with RGB, depth, and semantic sensors
  • Physics, navmeshes, and planners for navigation and interaction
  • Python API over a C++ core for flexibility and speed
  • Dataset connectors and tools for scene generation and replay
  • Deterministic simulation for reproducible benchmarking
  • Scales to thousands of FPS for large-scale training and evaluation


Langage de programmation

C + +


Catégories

Graphiques

This is an application that can also be fetched from https://sourceforge.net/projects/habitat-sim.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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