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.
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.
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.
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 BlogIsaac Lab Courses
Explore the fundamentals of robot learning and Isaac Lab, a powerful tool for developing robotic applications.
Take the Introductory CourseIsaac Lab Office Hours
Stay informed with our recurring office hours that cover in-depth topics with experts answering questions about Isaac Lab.
Watch the LivestreamsKey Features
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).
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.