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
- How to start
- The project's website (opens in a new tab)
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.
Links
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.
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