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> **Pre-Alpha Software — Not an Early Access or General Availability Release.**
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> Isaac Lab Arena `v0.1.x` is an early code release intended to give the community a practical starting point to experiment, provide feedback, and influence future design direction. APIs are unstable and will change. Features are incomplete. Documentation is evolving. **Do not use this in production.** See [Project Status](#%EF%B8%8F-project-status) for details.
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> **Alpha Software — Not an Early Access or General Availability Release.**
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> Isaac Lab Arena `v0.2.x` is an early code release intended to give the community a practical starting point to experiment, provide feedback, and influence future design direction. APIs are unstable and will change. Features are incomplete. Documentation is evolving. **Do not use this in production.** See [Project Status](#%EF%B8%8F-project-status) for details.
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> [!NOTE]
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> Changes on `main` contains an in development version of v0.2.0.
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> As of March 16th 2026 (GTC San Jose 2026), `main` contains most of the features for the v0.2.0 release,
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> however, is based on Isaac Lab 2.3 (rather than Isaac Lab 3.0) and has not been SQA tested.*
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---
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## Overview
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**Isaac Lab Arena** is an open-source extension to [NVIDIA Isaac Lab](https://github.com/isaac-sim/IsaacLab)that simplifies the creation of large-scale task and environment libraries for robotic policy evaluation. Co-developed with [Lightwheel](https://www.lightwheel.ai/), it provides a composable architecture where environments are assembled on-the-fly from independent, reusable building blocks — eliminating the redundant boilerplate that plagues traditional task library development.
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**Isaac Lab Arena** is an open-source extension to [NVIDIA Isaac Lab](https://github.com/isaac-sim/IsaacLab)for simplified task curation and robotic policy evaluation at scale. It provides a composable architecture where environments are assembled on-the-fly from independent, reusable building blocks — eliminating the redundant boilerplate that plagues traditional task library development.
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Instead of hand-writing and maintaining a separate configuration for every combination of robot, object, and scenario, Arena lets you **compose** environments from three independent primitives:
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## Key Features
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-**Composable Environments** — Mix and match scenes, embodiments, and tasks independently
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-**On-the-fly Assembly** — Environments are built at runtime; no duplicate config files to maintain
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-**Asset Registry** — Centralized management of robots, objects, and scenes with affordance annotations
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-**Integrated Evaluation** — Built-in metrics and evaluation pipelines for policy benchmarking
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-**Teleoperation Support** — Data collection via keyboard, VR, or other input devices
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-**GR00T Integration** — First-class support for NVIDIA GR00T N policy training and evaluation
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-**LeRobot Hub** — Publish and share environments on the [Hugging Face LeRobot Environment Hub](https://huggingface.co/blog/nvidia/generalist-robotpolicy-eval-isaaclab-arena-lerobot)
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-**LEGO-like Composable Environments** — Mix and match scenes, embodiments, and tasks independently
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-**On-the-fly Assembly** — Environments are built at runtime; no duplicate config files to maintain.
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-**New Sequential Task Chaining** — Chain atomic skills (e.g. Pick + Walk + Place + …) to create complex long-horizon tasks.
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-**New Natural Language Object Placement** — Define scene layouts using semantic relationships like "on" or "next to", instead of manually specified coordinates.
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-**Integrated Evaluation** — Extensible metrics and evaluation pipelines for policy benchmarking
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-**New Large-scale Parallel Evaluations with Heterogeneous Objects** — Evaluate policy on multiple parallel environments, each with different objects, to maximize evaluation throughput.
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-**New RL Workflow Support and Seamless Interoperation with Isaac Lab: Plug Isaac Lab** - Arena environments into Isaac Lab workflows for Reinforcement learning and Data generation for imitation learning.
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## Quick Start
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## ⚠️ Project Status
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Isaac Lab Arena is in **pre-alpha** (`v0.1.x`). This is important to understand:
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Isaac Lab Arena is in **alpha** (`v0.2.x`). This is important to understand:
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| What This Means | Details |
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|-----------------|---------|
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|**Not EA / GA**| This is not an Early Access or General Availability release. It is a very early community code drop. |
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|**APIs will break**| Public interfaces are under active development and will change without deprecation warnings. |
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|**Features are incomplete**| Core capabilities like natural-language object placement, composite task chaining, RL task setup, and heterogeneous parallel evaluation are planned but not yet implemented. |
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|**Docker-only install**| Source installation in a Docker container is the only supported method in `v0.1.x`. |
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|**Features are incomplete**| Core capabilities like agentic task generation, non-sequential long horizon tasks, easy-to-configure sensitivity analysis, enhanced heterogeneity across parallel evaluations and pip install support are planned but not yet implemented. |
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|**Docker-only install**| Source installation in a Docker container is the only supported method. |
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|**Limited testing**| The `main` branch contains the latest code but may not be fully tested. Use `release/0.1.1` for the most stable experience. |
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## Ecosystem
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Isaac Lab Arena is part of a growing ecosystem of tools and benchmarks:
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-**[Lightwheel RoboCasa Tasks](https://github.com/lightwheel-ai)** — 250+ open-source tasks built on Arena
-**[LeRobot Environment Hub](https://huggingface.co/blog/nvidia/generalist-robotpolicy-eval-isaaclab-arena-lerobot)** — Share and discover Arena environments on Hugging Face
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-**[RoboTwin 2.0](https://robotwin-benchmark.github.io/dex-robot/)** — Extended simulation benchmarks using Arena
-**[Isaac Lab Mimic](https://github.com/isaac-sim/IsaacLab)** — Synthetic data generation
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NVIDIA and partners are building Industrial and academic benchmarks on the unified Isaac Lab-Arena core, so you can reuse building blocks (tasks, scenes, metrics, and datasets) for your custom evaluations.
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-**[Lightwheel RoboFinals](https://lightwheel.ai/robofinals)** — high fidelity industrial benchmarks.
-**[RoboTwin 2.0](https://github.com/RoboTwin-Platform/RoboTwin/tree/IsaacLab-Arena)** — Extended simulation benchmarks using Arena; [Arxiv](https://arxiv.org/abs/2603.01229).
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-**[LeRobot Environment Hub](https://huggingface.co/blog/nvidia/generalist-robotpolicy-eval-isaaclab-arena-lerobot)** — Share and discover Arena environments on Hugging Face.
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NIST Board 1, NVIDIA Isaac GR00T Industrial Benchmarks, NVIDIA DexBench, NVIDIA RoboLab, and more benchmarks are coming soon.
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## Contributing
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## Acknowledgements
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Isaac Lab Arena is co-developed with [Lightwheel](https://www.lightwheel.ai/) and builds on [NVIDIA Isaac Lab](https://github.com/isaac-sim/IsaacLab). We thank the Isaac Lab team and the broader robotics community for their foundational work.
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Isaac Lab Arena builds on [NVIDIA Isaac Lab](https://github.com/isaac-sim/IsaacLab), with the evaluation and task layers designed in close collaboration with Lightwheel. We thank the Isaac Lab team and the broader robotics community for their foundational work.
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