NVIDIA Isaac Lab

NVIDIA Isaac™ Lab is an open-source, unified framework for robot learning designed to help train robot policies

Isaac Lab is developed on NVIDIA Isaac Sim™, providing high-fidelity physics simulation using NVIDIA PhysX® and physically based NVIDIA RTX™ rendering. It bridges the gap between high-fidelity simulation and perception-based robot training, helping developers and researchers build more robots, more efficiently.

Early developer preview of Isaac Lab 2.2 is now available on GitHub.

Download Now from GitHub


How Isaac Lab Works

Isaac Lab’s modular architecture and NVIDIA GPU-based parallelization make it ideal for building robot policies that cover a wide range of embodiments, including humanoid robots, manipulators, and autonomous mobile robots (AMRs).

Isaac Lab is a comprehensive framework for robot learning—from environment setup to policy training and deployment. You can customize and extend its capabilities with various physics engines, including NVIDIA PhysX, Warp, and MuJoCo.

NVIDIA Isaac Lab is also the foundational robot learning framework used by the NVIDIA Research and engineering teams developing NVIDIA Isaac GR00T.

Isaac Lab’s comprehensive platform for robot learning and robot policy building

Teach Robots New Skills

Create more robust, efficient, and capable robotic systems by teaching robots new skills in simulation. Robot learning in simulation helps reduce the need for extensive hardware expenses and time-intensive policy training iterations.

Training in Isaac Lab using Imitation Learning


Fast-track humanoid motion policy learning through synthetically generated motion data.

Read Blog

Open-Source Physics Engine for Robotics Simulation

Built on NVIDIA Warp, Newton is optimized for robotics and compatible with learning frameworks such as MuJoCo Playground or NVIDIA Isaac Lab.

Read Blog

Isaac Lab Courses

Explore the fundamentals of robot learning and Isaac Lab, a powerful tool for developing robotic applications.

Take the Introductory Course

Isaac Lab Office Hours

Stay informed with our recurring office hours that cover in-depth topics with experts answering questions about Isaac Lab.

Watch the Livestreams

Key Features

Two robotic hands rolling a ball showing flexible robot learning

Flexible Robot Learning

Customize workflows with robot training environments, tasks, learning techniques, and the ability to integrate custom libraries (e.g,. skrl, RLLib, rl_games, and more).

A robotic hand is programmed to pick up a teddy bear toy

Reduced Sim-to-Real Gap

The GPU-accelerated PhysX version provides accurate, high-fidelity physics simulations. These include support for deformables that allows for more realistic modeling of robot interactions with the environment.