Audience

Developers requiring a solution to train, test, and refine embodied agents using reinforcement and imitation learning—seamlessly and at scale

About NVIDIA Isaac Lab

NVIDIA Isaac Lab is a GPU‑accelerated, open source robot learning framework built on top of Isaac Sim, designed to unify and simplify robotics research workflows such as reinforcement learning, imitation learning, and motion planning. It leverages realistic sensor and physics simulation to support accurate training of embodied agents, providing ready‑to‑use environments, spanning manipulators, quadrupeds, and humanoids—with support for 30+ benchmark tasks and integration with popular RL libraries like RL Games, Stable Baselines, RSL RL, and SKRL. Isaac Lab features a modular, configuration‑driven design that enables developers to easily create, modify, and scale learning environments; it also supports collecting demonstrations via peripherals (gamepads, keyboards) and allows custom actuator models to facilitate sim‑to‑real transfer. The framework is built for both local and cloud deployment, accommodating flexible scaling of compute resources.

Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

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Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/isaac/lab

Videos and Screen Captures

NVIDIA Isaac Lab Screenshot 1
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Product Details

Platforms Supported
Cloud
Windows
Linux
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
Online

NVIDIA Isaac Lab Frequently Asked Questions

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NVIDIA Isaac Lab Product Features

Simulation

Dynamic Modeling
Discrete Event Modeling
Graphical Modeling
Monte Carlo Simulation
Design Analysis
Direct Manipulation
Stochastic Modeling
Continuous Modeling
1D Simulation
Motion Modeling
3D Simulation
Turbulence Modeling
3D Modeling
Presentation Tools
Agent-Based Modeling
Industry Specific Database