Building an AI Robot that can be trained! || Using an NVIDIA single board computer



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Previous video: https://youtu.be/B7Eqrf2M-Iw
Pyboard (MicroPython) Beginner’s Guide video: https://youtu.be/CyrgzzxQPzk
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Websites which were shown/used during the video:
https://pytorch.org/
https://en.wikipedia.org/wiki/Artificial_intelligence
https://www.analyticssteps.com/blogs/how-tesla-making-use-artificial-intelligence-its-operations
https://qengineering.eu/deep-learning-with-raspberry-pi-and-alternatives.html
https://jetbot.org/master/index.html
https://www.sparkfun.com/products/16417
https://www.sparkfun.com/products/15769
https://github.com/NVIDIA-AI-IOT/jetbot
https://developer.nvidia.com/embedded/jetson-nano-dl-inference-benchmarks

In this video we will have a closer look at the concept of AI aka artificial intelligence and deep learning. As a practical example I will be building a small robot that comes with an NVIDIA SBC, a camera and two motors with wheels to drive around. I will show you how to use the SBC and its AI features in order to create an algorithm that avoids obstacles while the robot is driving around autonomously. Of course there is much more to learn when it comes to AI and deep learning. So let’s get started!

Thanks to Elektor and SparkFun for sponsoring this video!
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Music:
2011 Lookalike by Bartlebeats
Killing Time, Kevin MacLeod
(incompetech.com)

0:00 This is why AI is WICKED!
1:54 Intro
2:44 Finding suitable hardware for AI tasks
4:06 Building the AI robot
6:06 Connecting the AI robot to the internet
6:44 Presenting the AI robots programming interface
7:26 First practical test
8:22 AI practical test
9:46 Conclusion

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