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BEHAVIOR-1K (OmniGibson)

  • Software
  • Simulators
  • Simulator

BEHAVIOR-1K is a simulation benchmark for testing embodied AI agents on 1,000 everyday household activities such as cleaning, cooking, and organizing.

  • Closed core

Made by Stanford Vision and Learning Lab, United States (checked on github.com/StanfordVL (opens in a new tab)).

Source on GitHub: github.com/StanfordVL/BEHAVIOR-1K (opens in a new tab). Facts read at commit 7d6718c (opens in a new tab).

Licenses

Code
MIT (opens in a new tab)

Read by Robotheca from LICENSE (opens in a new tab) (MIT) at commit 7d6718c (opens in a new tab), on 16 Oct 2026.

Commercial use
Unknown

It needs closed parts under their own terms: read them before any commercial use.

One part it needs is closed

  • Needs NVIDIA Isaac Sim: OmniGibson, the simulator in this repository, runs on NVIDIA Isaac Sim, whose Omniverse components are under NVIDIA's own terms.

Labels

  • Closed coreIt needs closed parts: NVIDIA Isaac Sim.

What it does

  • Provides a monolithic repository with everything needed to train and evaluate agents on human-centered household tasks.
  • Activities were selected from real human time-use surveys and preference studies.
  • Includes an installation script that handles all dependencies and supports installing only selected components.
  • Detailed installation instructions are available in the project's installation guide.

Written by Robotheca from the project's README (opens in a new tab) at commit 7d6718c.

Getting started

Difficulty
Advanced

Maintenance

Status
Active: a commit in the last 90 days
Newest commit
15 Oct 2026 on main
Latest release
BEHAVIOR-1K v3.9.3 post 2 (7 Oct 2026)

Checked on GitHub on 16 Oct 2026.

Robots on Robotheca that use it

No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.

Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.