Learn how to transfer your Arduino Uno projects to an ATmega328 Chip. Full article at https://dbot.ws/atmega328 More articles and tutorials: https://dronebotworkshop.com Join the conversation on the forum: https://forum.dronebotworkshop.com Subscribe to the newsletter and stay in touch: https://dbot.ws/dbnews Star Wars music sketch on GitHub - https://gist.github.com/nicksort/4736535 In this final episode of 2018, I will show you how to take the projects you have built using an Arduino Uno and “shrinkify” them down to an ATmega328 chip. This will allow you to make a permanent version of your project without using up one of your precious Arduino boards. The ATmega328 is the microcontroller chip at the heart of the Arduino Uno. It is available in several packages, we will focus on the common 28-pin DIP (Dual Inline Package). You only need a handful of components to turn an ATmega328 chip into a fully-functional Arduino Uno equivalent. It’s much cheaper and a lot smaller, allowing you to build a permanent version of your design onto a small circuit board. I will also show you three methods of programming the ATmega328 chip, after all an Arduino isn’t very useful if you can’t upload a sketch to it! To illustrate my point I will put together a very simple yet cute “music box” using an Arduino Uno, and then we’ll move the project onto an ATmega328. It will be of particular interest to Star Wars fans as the “music box” plays “The Imperial March”. If you have an old Darth Vader or Storm Trouper toy it would be neat to build it into it! I cannot take any credit for the sketch I used to create the Star Wars music box, the code was written by Nick Sort about 6 years ago and is available on GitHub - https://gist.github.com/nicksort/4736535 . It’s an excellent example of making simple music with the Arduino. Here is the Table of Contents for this video: 00:00 - Introduction 03:29 - The ATmega328 05:50 - Star Wars Arduino Project 08:35 - Star Wars Sketch 15:14 - Build an “Arduino” with ATmega328 21:31 - Loading the Program - Using Arduino Method 1 24:50 - Loading the Program - Using Arduino Method 2 30:01 - Loading the Program - Using FTDI Adapter As always you will find an accompanying article for this video on the DroneBot Workshop website at https://dbot.ws/atmega328. And while you are there please sign up for my newsletter using this link - https://dbot.ws/dbnews. And a special thank you for all of your support in 2018. We are now over 50 thousand subscribers and that’s both amazing and humbling, I owe it all to my wonderful viewers. All the best for a healthy and prosperous 2019. Hope to see you in the workshop next year! ... https://www.youtube.com/watch?v=Sww1mek5rHU

Today we will look at the NVIDIA Jetson Nano Developer Kit, a low-cost platform for developing Artificial Intelligence (AI) applications. I’ll show you how to get started with the Jetson Nano. Article at https://dbot.ws/jetson01 More articles and tutorials: https://dronebotworkshop.com Join the conversation on the forum: https://forum.dronebotworkshop.com Subscribe to the newsletter and stay in touch: https://dbot.ws/dbnews The NVIDIA Jetson Developer Kit was introduced in late 2018 and became available in early 2019. It’s an inexpensive product with impressive capabilities. The Jetson Nano Development Kit is part of the NVIDIA Jetson line of Artificial Intelligence development platforms. While most of the Jetson platforms are quite expensive the Nano kit is priced at only $99 USD, bringing the power of the Jetson platform to students, experimenters, makers, and independent developers. The NVIDIA Jetson Nano Developer kit contains a Jetson Nano module mounted on a carrier board. The carrier board has 4 USB3 ports, a Gigabit Ethernet connector and both HDMI and DisplayPort video connectors. There is also a 40-pin GPIO connector that is Raspberry Pi GPIO compatible. The Jetson Module is a card with a huge heatsink and a 260-pin SODIMM connector. It has a Quad-core ARM A57 CPU running at 1.43 GHz, a 128-core Maxwell GPU, and 4GB of ultra-fast memory. In the Jetson Nano Developer Kit, the module has a microSD card, there is also a production version of the module that uses NVRAM. As this is a developer kit the idea is that you would develop your software on a microSD card and then burn it onto NVRAM in your production design. Your design would use a 260-pin SODIMM connector for the module, bringing the power of Jetson to your own products. I’ll show you how to get an image for Ubuntu Linux 18.04 configured with the NVIDIA JetPack SDK. We’ll burn the image onto a microSD card and use it to set up the Jetson. Once we have it set up we will run a few CUDA parallel processing demos. Here is what is in today's video: 00:00 - Introduction 02:04 - Introducing NVIDIA Jetson Nano 10:23 - Getting the microSD Image 12:16 - Installing Ubuntu and Jetpack SDK 16:05 - CUDA Parallel Processing Demos If you need more information about the NVIDIA Jetson Nano you can check out the article at https://dbot.ws/jetson01 ... https://www.youtube.com/watch?v=BkZ1n_1F-Cg

In Part 4 of the Build a REAL Robot series I will discuss selecting and installing wheels for your robot project. I will also show you the wheels that I used on my DB1 robot. Article with part numbers - https://dbot.ws/rbt004 More articles and tutorials at https://dronebotworkshop.com Join the newsletter - https://dbot.ws/dbnews Today we will talk about wheels, and while it might not seem like the most thrilling subject, selecting the correct wheels for your robot is an important task. I will go over some of the considerations that you’ll need to take into account when choosing wheels for your robotic project. I will also show you some of the different types of wheels that you can use. My DB1 robot uses two types of wheels. On the front there are the traditional standard wheels, these are powered by the motors that we looked at in the last video. The rear wheels are a special type of wheel called Omni Wheels. Actually, each rear wheel consists of two Omni wheels, mounted in a “staggered” pattern for improved performance. Omni wheels open up a lot of different wheel configuration possibilities. I will show you which one I chose (the most boring one I’m afraid), as well as other mounting arrangements you might consider. The article that accompanies this video, which you can read at https://dbot.ws/rbt004, gives you more details about the mounting of both types of wheels on DB1, along with part numbers and links to the components I used. Hope you enjoy the video! Next week I’ll be working on the base unit electronics and power distribution, so please subscribe to the YouTube channel so you don’t miss out on anything. ... https://www.youtube.com/watch?v=QC55JnGFRRc

The Seeeduino XIAO ESP32S3 Sense board combines a camera, microphone, MicroSD card reader, and battery charger into a tiny package. Article with code: https://dronebotworkshop.com/xiao-esp32s3-sense More articles and tutorials: https://dronebotworkshop.com Join the conversation on the forum: https://forum.dronebotworkshop.com Subscribe to the newsletter and stay in touch: https://dronebotworkshop.com/subscribe/ Seeed Studio’s XIAO line of microcontrollers has a new family member, the XIAO ESP32S3 Sense board. It’s actually two boards: the ESP32S3-based XIAO and a tiny expansion board with a camera, MEMS microphone, and MicroSD card holder. Complete with a USB-C connector and provisions for charging and powering off a 3.7-volt battery; this little board packs a lot of power for the low price of 14 US dollars. And it's pin-compatible with other boards in the XIAO series, so any prototyping boards you already have on hand can be used with it. Today, we will examine the XIAO ESP32S3 Sense board and its components. We’ll also use it to build a camera that also records sound. And we will upgrade the camera module to a 5-megapixel model. Here is the Table of Contents for today's video: 00:00 - Introduction 02:05 - XIAO ESP32S3 Sense 11:12 - Getting Started - IDE Setup 12:55 - Reloading Bootloader 14:22 - CameraWebServer Demo 17:01 - Voice Recording Camera 21:53 - Voice Recording Camera Sketch 28:01 - Voice Recording Camera Demo 34:04 - OV5640 Camera Upgrade 39:07 - OV5640 Camera Test 42:42 - Conclusion Incidentally, the ESP32S3 board is also available on its own for $7.49, making it one of the least expensive ESP32S3 boards you can buy. Hope you enjoy the video! Bill ... https://www.youtube.com/watch?v=qNzlytUdB_Q