Isaac Lab is a unified and modular framework for robot learning that aims to simplify common workflows in robotics research (such as reinforcement learning, learning from demonstrations, and motion planning).
Isaac Lab is a unified and modular framework for robot learning that aims to simplify common workflows in robotics research (such as RL, learning from demonstrations, and motion planning). It is built upon NVIDIA Isaac Sim to leverage the latest simulation capabilities for photo-realistic scenes and fast and accurate simulation.
Please refer to our documentation page to learn more about the installation steps, features, tutorials, and how to set up your project with Isaac Lab.
What's New in Isaac Lab
For the latest features, improvements, and known issues in each release, see the Isaac Lab Release Notes
License
By pulling and using the container, you accept the terms and conditions of the NVIDIA Isaac Sim Additional Software and Materials License.
Sources for OSS packages used in this container can be found here.
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