Accelerating ROS 2 Workloads With NVIDIA GPU-Powered Libraries and AI Models

Learn how to accelerate ROS 2 workloads using NVIDIA’s latest GPU-powered libraries for AI and robotics. This hands-on lab will explore how to leverage generative AI and GPU-accelerated ROS 2 packages to enhance robotic workloads in real time. Gain experience with optimizing ROS 2 packages for GPU acceleration, including techniques for improving performance and reducing latency in AI perception, navigation, and more. We'll also demonstrate NVIDIA Isaac's powerful AI and simulation tools, designed for seamless integration with ROS 2.
Prerequisite(s):

Experience with OpenUSD, NVIDIA Omniverse and 3D CAD software.
Experience in Python.
Basic knowledge of NVIDIA Isaac Sim and Isaac ROS.