Isaac Lab: A Unified and Modular Framework for Robot Learning

Isaac Lab is a unified and modular framework for robot learning that aims to simplify common workflows in robotics research, including reinforcement learning, imitation learning, and motion planning. Built upon NVIDIA Isaac Sim, it provides fast and accurate PhysX-based physics simulation, tiled rendering APIs for vectorized operations, and supports multi-GPU and multi-node training.

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Recommended citation: Mayank Mittal, Pascal Roth, James Tigue, Antoine Richard, Octi Zhang, Peter Du, Antonio Serrano-Muñoz, Xinjie Yao, René Zurbrügg, Nikita Rudin, et al. (2025). "Isaac Lab: A Unified and Modular Framework for Robot Learning." arXiv preprint arXiv:2511.04831.
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