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Erich, a professor at the Lucerne University of Applied Sciences and Arts in Switzerland, posted to our forum about a circuit he designed for the robots he’s building based on our Zumo chassis for his embedded system programming course. His Zumos are retrofitted with our micro metal gearmotors with extended backshafts and optical encoder board. The custom circuit he designed converts the analog output of our optical encoder boards to digital waveforms, which makes them more easily interpreted by microcontrollers and other devices. His board uses a Digital-to-Analog Converter (Microchip’s MCP4728) and four op-amps (Microchip MCP6004) to generate the modified quadrature output. The DAC can be controlled directly over I²C and can be calibrated automatically. After verifying that it works, Eric ordered a bunch more boards to use in his course:
We look forward to seeing how they work with the Zumos!
You can read more about Erich’s signal processing boards on this blog post from his website. You can follow the progression of the robots used in his course by visiting these forum posts:
March 2013: Zumo Robot with FRDM-KL25Z Board
September 2013: Zumo Robot with Pololu Plug-in Modules
October 2013: Zumo Robot with Pololu Plug-in Modules, assembled
December 2013: Zumo Tournament Videos
Nick Moxley made a DIY seat mover (with two degrees of freedom) and shared his build on our forum. This racing simulator is powered by two of our Jrk 12v12 USB Motor Controllers with Feedback and controlled from the popular XSimulator software. The picture below shows Nick’s jrk motor controllers, which he modified by adding heat sinks for additional cooling.
This is one impressive build that I highly recommend checking out, especially if you are interested in making your own DIY racing simulator. You can find details about the parts he used (including where he found some of them) as well as many pictures documenting different parts of his build in Nick’s post on the Inside Sim Racing forum. A shorter version of this can be found in Nick’s post on our forum.
We posted about a Simulink library for the Zumo robot recently, and now a tutorial that teaches you how to use that library to program a Zumo robot with Simulink is available on the Adafruit Learning System. The guide walks you through setting up a Simulink model to make the Zumo follow a specific trajectory, then loading the generated code onto the Zumo to see it run.
Related post: Zumo robots programmed with Simulink by MathWorks
MathWorks, the producer of technical computing software including MATLAB and Simulink, has released a Simulink library for the Zumo robot. The library provides blocks that represent all of the sensors and peripherals on our Zumo robot for Arduino, making it possible to program an Arduino-controlled Zumo robot using Simulink.
These Simulink-programmed Zumo robots have made a few appearances on MathWorks’ MakerZone blog. This article discusses the math behind programming a robot to follow a line, modeling the control system as a harmonic oscillator.
MathWorks also used several Zumos as part of a demonstration at the Robot Zoo, part of the 2014 Cambridge Science Festival. You can read more about their Zumo demonstration, as well as their other robot exhibits, in their recap of the event.
Related post: How to program a Zumo robot with Simulink
Let’s Make Robots user rhughes posted about MiniTrack, his custom-built tracked robot that features the ability to drive on each of its three sides. It uses our 30T track set and an extra pair of our 42×19mm sprockets. The tracks are driven by a pair of medium power 150:1 micro metal gearmotors, which are controlled by a DRV8833 dual motor driver carrier. MiniTrack also uses two Sharp GP2Y0D805Z0F digital distance sensors for object avoidance:
You can find pictures of various stages of the assembly of this robot and learn what else was involved in making it inside rhughes’s post.
This PID line follower, originally featured in this Let’s Make Robots post by user Enigmerald, uses our 5" Robot Chassis along with 30:1 MP micro metal gearmotors, extended brackets, and our 42×19 mm wheels. Our QTR-8RC Reflectance Sensor Array is used to sense the line and our TB6612FNG carrier, along with an Arduino-compatible controller, is used to control the motors. A diagram of how everything is connected and the code for the robot are available in Enigmerald’s post. The post also has a link to a basic tutorial on PID tuning using the QTR array.
Shawn and Lara Steele, known on the Pololu forum as kresty, built a functional, full-size, LEGO R2-D2 named L3-G0. L3-G0’s design is based on plans from the R2-D2 Builder’s Club, and it is made from around 16,000 LEGO bricks. It weighs roughly 30 kg (65 lbs) and can travel at a speed of 8 km/h (5 mph). The astromech has a fully functional rotating dome with multiple blinking lights. The dome is rotated using our 80mm wheel fitted with a high-traction sticky tire and powered by one of our 37D gearmotors. L3-G0 is controlled using a 9-channel RC transmitter and features an Arduino along with dedicated motor controllers and sound boards. Electric scooter motors were used for the drive wheels. The astromech also uses Pololu motor controllers and voltage regulators, as well as a SparkFun MP3 Trigger for audio. Continued…
Like other engineers here, I made a robot for the LVBots dead reckoning competition. Before I knew about this competition, I hadn’t made a successful dead reckoning robot. By the end of this competition, I still hadn’t made a successful dead reckoning robot. However, I did learn more about myself and a little more about line following. This post describes my robot, Usain Volt, and details some of what I was thinking when I designed it. Continued…
This post is about my first-place entry in the 2014 LVBots Dead Reckoning Competition, a 150 mm round robot named paul-dead-reckoning2.88ec5df. I designed this robot to be similar to the 3pi, but larger, to leave plenty of room for wiring and sensor mounting. The central controller is an Arduino Leonardo, and (unlike the 3pi), the motors are equipped with quadrature encoders. Continued…