Using NVIDIA Jetson Nano with ROS

NVIDIA Jetson NANO is the best low budget small CARD with CUDA capabilities.
We created a robot called Ignisbot that uses Jetson Nano for tracking people in real time and react to them.
Want to learn to do your own Ignisbot? Then enroll in the course right now in Robot Ignite Academy!

See what can be accomplished by following our new online course in:

Useful links:
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* Direct link to the course that teaches you step by step how to do all shown in the video:
https://www.theconstructsim.com/robotigniteacademy_learnros/ros-courses-library/using-nvidia-jetson-nano-with-ros/
* URDF robot modeling course: https://www.theconstructsim.com/robotigniteacademy_learnros/ros-courses-library/urdf-ros-robot-modeling/

IgnisBot is an *open source robot*. You can have all the design documents in the following link, and assemble yourself:
* Onshape Assembly: https://cad.onshape.com/documents/c03c0a46658c5c297d778863/w/e91492e8fea813cc0aaf558c/e/1ec7413561701ae68585e6db

If you do prefer to have the robot built you can buy it here:
* Buy the IgnisBot KIT: https://www.theconstructsim.com/ignisbot-ros-ai-robot/

 * ROSject with all the code: people tracker, people following and Gazebo simulation, ready to execute:
http://www.rosject.io/l/fdcbff5/


Why NVIDIA Jetson NANO?
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With the new NVIDIA Jetson NANO, using NVIDIA (R) TEGRA (R), you have the ability to use Deep Learning models in robotics applications that need fast response times. It also lowers the entry point price for this kind of technology, giving a viable alternative to Raspberry Pi if your interests are AI-related.



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