If you’re starting to explore Embodied AI or humanoid robotics, you’ll quickly encounter these tools.

They’re all part of NVIDIA’s robotics simulation ecosystem, but they serve different roles in the development pipeline.

Here’s a quick overview.

🌐 Omniverse

An open platform for building virtual worlds and digital twins.

• Built on USD (Universal Scene Description), enabling interoperability across tools like Blender and Maya
• Provides high-quality rendering and real-time physics simulation
• It serves as the foundational platform for tools like Isaac Sim, providing the underlying simulation and rendering capabilities.

🤖 Isaac Sim

A robotics simulation platform built on Omniverse for building and testing robotic systems.
• High-fidelity physics simulation (robot dynamics + sensors)
• Integration with ROS / ROS2
• Highly extensible for robotics workflows

This is where you simulate robots and their environments.

🔵 Isaac Lab

A lightweight toolkit for robot learning and AI development, built on top of Isaac Sim’s simulation capabilities. Primarily used for training robot policies. And it is open-source.

• Prebuilt robot models and task environments
• Support for Reinforcement Learning (RL) and Imitation Learning (IL)
• Works with multiple robot types (mobile robots, manipulators, humanoids)

Isaac Lab is where robot policies are trained.

🌀 Isaac Gym

A GPU-accelerated simulator designed for large-scale reinforcement learning.
• Supports algorithms like PPO and SAC
• No high-fidelity rendering
• Limited interaction modeling
It has largely been replaced by Isaac Lab and is no longer actively maintained, but remains easy to use.

If you want to accelerate your entry into Humanoid Robotics, join our intensive 3-day onsite training and go from zero setup to a working humanoid demo: https://www.theconstruct.ai/humanoid-robot-reinforcement-learning-training/