Nvidia Jetson Nano Ros

Ros melodic is for ubuntu 18 04 so ros melodic is used on nano.

Nvidia jetson nano ros. This resipotary is still under progress. I ask because i tried to install ros following the jetson hacks post for ros kinetic tx2 but after the installation process finished roscore resulted in a command not found and the folder. Miguel angel is the cto of the construct. Track people and follow them.

The jetson nano is the latest embedded board of the nvidia jetson family. Designed for autonomous machines it is a tiny low power and affordable platform with a high level of computing power allowing to perform real time computer vision and deep learning operations at the edge. He is here today to explain us about his latest robot built on top of nvidia jetson nano. Using nvidia jetson nano with ros.

The jetson nano is a small powerful computer designed to power entry level edge ai applications and devices. Move a jetbot based robot. Train a robot to do obstacle avoidance through deep learning. Ros nodes and gazebo model for nvidia jetbot with jetson nano system configuration it is assumed that your nano s sd card was flashed with nvidia s jetpack image see the getting started guide.

Get started quickly with the comprehensive nvidia jetpack sdk which includes accelerated libraries for deep learning computer vision graphics multimedia and more start prototyping using the jetson nano developer kit and take. Looking to bring an ai enabled product to market. He is also the host of morpheus chair a youtube show where he shows how to interact with ros and real hardware. Ros kinetic is for ubuntu 16 04 and jetson nano jetpack 4 2 supports ubuntu 18 04.

Indoor mapping and navigation robot build with ros and nvidia jetson nano please go to lidarnrsdl branch for updated package please go to wiki for more information about the build. Ros is the. There he builds robots develops ros code and creates online courses for learning ros. The basics of nvidia jetson nano setup.

Designed for autonomous machines it is a tiny low power and affordable platform with a high level of computing power allowing to perform real time computer vision and mobile level deep learning operations at the edge. Getting started with ros on jetson nano. Execute code designed for gpu cuda enabled hardware in only cpu systems. Install robot operating system ros on the nvidia jetson nano developer kit takes about 10 minutes and forms the base of may robotic projects.

Other than that it is tested and working fine.