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NVIDIA JetBot: Jetson Nano Vision-Controlled AI Robot



ExplainingComputers

Jetson Nano “JetBot” machine learning robot review and demo. Includes hardware, software, Jupyter Lab notebooks for executing Python code, collision detection examples, and some introduction to training a neural network model.

The JetBot shown was supplied for review by NVIDIA, but this is not a sponsored video. If you are interested in getting a JetBot, I would strongly recommend starting on its NVIDIA web pages here: https://developer.nvidia.com/embedded/jetson-nano-developer-kit

The JetBot Wiki, which contains all of the information required to build, setup and run vision recognition and machine learning on a JetBot, is here: https://github.com/NVIDIA-AI-IOT/jetbot/wiki

There is also info on full JetBot kits here: https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetbot-ai-robot-kit/

My previous review of the NVIDIA Jetson Nano SBC is here:
https://www.youtube.com/watch?v=tgGELfqigsc

And my “Jetson Nano: Vision Recognition Neural Network Demo” video is here:
https://www.youtube.com/watch?v=k5pXXmTkPNM

I also have an introduction to AI video here:
https://www.youtube.com/watch?v=W2ey_4_DHuc

More videos on single board computers and broader computing topics can be found on the ExplainingComputers channel: https://www.youtube.com/user/explainingcomputers/videos

You may also like my other channel, ExplainingTheFuture, at: https://www.youtube.com/user/explainingthefuture/videos

#JetBot #JetsonNano #NVIDIA #ExplainingComputers

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33 thoughts on “NVIDIA JetBot: Jetson Nano Vision-Controlled AI Robot
  1. Hi Chris, bit late to this party – sorry.
    Do you think a lidar module would integrate well with this project, a combination of visual and 3d mapping would be quite cool. Plus, on a more robust chassis like the Devastator (?) robot chassis you used on the pi controlled series could be a useful tool for hazardous area searches etc. It would be interesting to see you do a video or two on such a project. And quite educational.
    Now it's time for me to catch up with the rest of your videos that I've missed. Cheers!

  2. Would there be a way to "automate" training data if this were say, a consumer product? If for example, NVIDIA sold thousands of these that were collecting camera data, would there be a way to use that data to train neural networks for future generations without having a human being mark each image as "blocked" or "not blocked"?

  3. Would love to see you expand on this robots capabilities! 😀 how about a hand that can grab drinks from the fridge? Okay a little ambitious, buuut possible I guess 😀

  4. It could make for a neat cat toy. Teach it to perform different stunts or tasks based on which animal it sees under a variety of conditions. Or toddlers, puppies, any small silly creature with curiosity or skittish behavior. Is there a full cover for that bot? I wonder how well it would do on detecting stairs that are carpeted or feature a confusing geometric pattern.

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