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Isaac Lab-Arena

  • Software
  • Humanoids and robot learning
  • Framework

A framework for composing robot simulation environments from scenes, embodiments and tasks, and for running and analyzing policy evaluations at scale in Isaac Lab.

  • Closed core

Made by NVIDIA.

Source on GitHub: github.com/isaac-sim/IsaacLab-Arena (opens in a new tab). Facts read at commit 9afdcd0 (opens in a new tab).

Licenses

Code
Apache-2.0 (opens in a new tab)

Read by Robotheca from LICENSE.md (opens in a new tab) (Apache-2.0) at commit 9afdcd0 (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: Isaac Lab-Arena, built on Isaac Lab, 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

  • Builds reusable simulation environments by combining a scene, a robot embodiment and a task into a standard Isaac Lab environment.
  • Places objects using spatial relationships such as on and next to instead of hard-coded coordinates.
  • Chains atomic skills into longer composite tasks.
  • Can generate environment specifications from natural-language prompts, which is experimental.
  • Evaluates one policy in parallel across thousands of GPU environments, locally or distributed through OSMO.
  • Tracks subtask milestones and runs sensitivity analysis over perturbed conditions to locate policy failures.

Written by Robotheca from the project's README (opens in a new tab) at commit 9afdcd0.

Getting started

Difficulty
Advanced
Hardware it needs, as the project states it
Linux (Ubuntu 22.04+), an NVIDIA GPU (see Isaac Sim hardware requirements), and Python 3.12 or newer.

Maintenance

Status
Active: a commit in the last 90 days
Newest commit
16 Oct 2026 on main
Latest release
None published on GitHub

Checked on GitHub on 16 Oct 2026.

Robots that can run 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.