Overview
In this course, you will learn how to transition robotics applications from simulation to real-world deployment using ROS 2, Isaac Sim, and NVIDIA Jetson. Starting with a software-in-the-loop (SIL) application, you will test it using hardware-in-the-loop (HIL) techniques and deploy it on a Jetson.
The course covers setting up Jetson hardware, running image segmentation tasks, and validating results in both simulated and real-world environments. Designed for learners with some familiarity with Isaac Sim or robotics, this course is accessible to beginners and valuable for experienced users. While the Nova Carter AMR is used as an example, the skills and concepts taught are applicable across various robotic systems.
Course Description & Learning Outcomes
Describe hardware-in-the-loop systems
Execute image segmentation tasks
Apply Isaac ROS in real-world scenarios
Analyze results from simulation to real-world tests
Install and configure NVIDIA Jetson
Recommended Prerequisites
This is the fifth course in the Getting Started With Isaac Sim learning path. Please complete Developing Robots with Software-in-the-Loop (SIL) In Isaac Sim before beginning this course.Basic Python knowledge and familiarity with robotics concepts.A Linux machine meeting Isaac Sim's system requirements is necessary for this course and for properly running simulations.
Schedule
End Date: 31 Mar 2032, Wednesday
Location: Online
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Robotics (Proficiency level: Beginner)
