NVIDIA Isaac Sim 101 - ROS2 & Robot Navigation

Wheeled Robot Control with ROS2 Jazzy, RViz, Nav2, OmniGraph and Isaac Sim.
What you'll learn

---

Isaac Sim Basics
ROS2 with ActionGraph
Build Drive Controllers Using ActionGraph
Control Wheeled Mobile Robots in Simulation
Stream Sensor Data from Isaac Sim
Robot Navigation in Isaac Sim
Requirements

---

No programming experience is needed. You will learn everything you need to know.
Ubuntu 24
Nvidia GPU min 8Gb VRAM
Description

---

Modern robotics is increasingly built around simulation-first development, and NVIDIA Isaac Sim is at the center of this shift. It allows us to design, test, and validate complex autonomous systems in a physically accurate virtual environment before deploying them to real hardware, saving time, cost, and reducing risk while accelerating development.
In this course, we will learn how to install and set up NVIDIA Isaac Sim and ROS2 from scratch, and understand the core concepts, interface, and workflow of Isaac Sim. We will build and connect robot logic using OmniGraph and create drive controllers for mobile robots using visual scripting. The course covers different wheeled robot systems, including differential drive (2-wheel and 4-wheel), Ackermann steering, and mecanum drive. We will also work with essential robotics sensors such as cameras, IMU, and LiDAR, and learn how to stream and process sensor data in simulation. In addition, you will integrate ROS2 with Isaac Sim to build real-world robotics workflows, robot navigation pipeline, and use mapping tools and RViz for visualization and debugging.
If you want to build real robotics skills with industry-grade simulation tools like NVIDIA Isaac Sim and ROS2, this course will give you the practical foundation to start developing autonomous systems confidently. Join now and see you in the course as we start building and experimenting together.
Who this course is for

---

Anyone who wants to build real-world robotics skills using NVIDIA Isaac Sim
Homepage

---