WEBINAR
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Date: Tuesday, February 1, 2022
Time: 9:00am - 10:00am PT
Duration: 1 hour
Time: 9:00am - 10:00am PT
Duration: 1 hour
Using NVIDIA Isaac ROS GEMs in a Docker container, we will investigate and design a robotics application using the Isaac ROS Visual Odometry GEM known for its industry-leading accuracy. This will be implemented with two stereo cameras: Intel RealSense and Stereolabs ZED. In this webinar hosted by NVIDIA's Raffaello Bonghi, we'll take a deep dive on NVIDIA Jetson ROS Docker containers showing how to incorporate DevOps principles to your robotic application workflow. The talk will be based on the Nanosaur, the smallest open-source, fully 3D-printable NVIDIA Jetson robot based on ROS2 & Isaac ROS.
- Learn how to design a robotics application using Isaac ROS Visual Odometry with stereo cameras such as Intel RealSense and Stereolabs ZED.
- Take a deep dive on NVIDIA Jetson ROS Docker containers showing how to use your Jetson in DevOps with Github Actions.
- We will highlight building a Nanosaur, the smallest open-source, fully 3D-printable NVIDIA Jetson robot based on ROS2 & Isaac ROS.
WEBINAR REGISTRATION
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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Speaker
Raffaello Bonghi
Developer Relations Manager for AI & Robotics, NVIDIARaffaello Bonghi is a Developer Relations Manager for AI & Robotics. Since 2015, he has been an NVIDIA Jetson Champ designing multiple ROS/ROS-based robots for outdoor navigation and educational applications. Additionally, he has been involved in developing AI solutions for numerous international clients in the retail and robotics space. Raffaello holds a Ph.D. in control theory and industrial automation, with a deep focus on robotics.
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