Pololu Blog (Page 69)
Welcome to the Pololu Blog, where we provide updates about what we and our customers are doing and thinking about. This blog used to be Pololu president Jan Malášek’s Engage Your Brain blog; you can view just those posts here.
In this video, Brian Patton demonstrates how to program an animatronic robot using a Maestro Servo Controller. He covers basic configuration using the Maestro Control Center and shows how to sync voice with servo motion using software from his company Robodyssey.
Featured link: http://www.youtube.com/watch?v=Yop9Zk2HJMU
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Customer Mike Kohn recently wrote to us about two of his projects that use Pololu parts:
This paper disk is marked with black and white patterns spread across four distinct rings and can store a total of 16 bytes of data. Mike decodes the data with one of our QTR-1RC reflectance sensors. Read more about “PAPER-ROM”…
This balsa wood airplane uses an ATtiny85 to interpret signals from a Syma S107 helicopter remote controller, and it uses our 5:1 micro metal gearmotor HP to spin its propeller. Read more about this airplane project…
Mike has documented many of his other software and electronics projects on his web site.
Our large selection of cables, wires, and connectors makes connecting electronics easier. This video will show you some of what we offer.
I am happy to announce another price drop. This time, it’s for several of our QTR reflectance sensors!
QTR-8A and QTR-8RC reflectance sensor arrays are now $9.95 (down from $14.95) with quantity price breaks starting at just five units. These modules feature eight IR LED/phototransistor pairs spaced 0.375″ apart, and an integrated MOSFET allows the LEDs to be turned off for additional sensing or power-savings options. These boards can optionally be broken apart into a six-sensor array and a two-sensor array.
More about QTR sensors
These sensors and the rest of the modules in the QTR family combine infrared LED emitters with phototransistors that detect the amount of reflected IR. This makes them great for applications like edge detection and line following. Each type of QTR sensor is available in two versions: “A” units indicate the reflectance with an analog voltage, and “RC” units have digital I/O-compatible outputs that let you measure the reflectance by timing the discharge of a capacitor.
And don’t forget the newer members of our QTR family, which were priced from the outset in line with our efforts to offer better quality products at lower prices:
QTR-3A and QTR-3RC reflectance sensor arrays make a great minimal sensing solution for a line-following robot. They use smaller sensing elements than the QTR-1 and QTR-8 versions, so they can fit three IR LED/phototransistor pairs onto a compact 1.25″ × 0.3″ board.
QTR-L-1A and QTR-L-1RC sensors use a discrete right-angle infrared LED and a right-angle phototransistor, each mounted on a different side of the board. This results in a very small sensor that has a low profile along the plane of detection.
The Zumo reflectance sensor array incorporates six IR LED/phototransistor pairs onto a 2.6″ × 0.6″ board, with the distance between the sensors increasing as they get farther from the center of the array. This module was designed to work directly with the Zumo shield on our Zumo robot, but it can also be used as a general-purpose QTR sensor array.
QTR sensor size comparison. Top row: QTRX-HD-07, QTR-HD-07; middle row: QTR-3, QTR-1, QTR-L-1; bottom row: QTR-8.
Featured link: http://forum.pololu.com/viewtopic.php?f=2&t=7250
Shahmir Javaid tweeted about a tutorial he wrote that describes how he used a Raspberry Pi to control a Maestro servo controller in C. His tutorial documents the steps he took, including setting up the Raspberry Pi for UART, wiring, and programming. The setup is simple, and the code is provided.
A customer sent us a link to this instructable that shows how to make an automated XY table that can be controlled through the internet. It is constructed from T-slotted aluminum extrusions and uses an Arduino and jrk 21v3 motor controllers to drive the axes using a pulley system.
You can interact with this XY table by going to TeleToyland, which has a browser based interface that allows you to draw an image and watch the XY table reproduce your image in a sandbox.