Pololu Blog (Page 23)
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.
We recently released the A-Star 32U4 Micro, which we think is the best available AVR breakout board for its size. If you are like us, you enjoy taking factory tours, seeing how things are made on How It’s Made, and watching your Krispy Kreme doughnuts get created right before you personally eat them. Since most of you have not been able to visit us here in Las Vegas, we’ve made a video that shows how your A-Star Micro gets made!
The video shows how the A-Star Micro goes from a bare printed circuit board to an assembled and tested product. It is one of our more complex boards to make because it has components on both sides—this means two trips through the stencil printer, pick-and-place machine, reflow oven, and automated optical inspection machine. Here are some of the machines featured in the video:
- Speedprint SP700 AVI stencil printer
- Samsung SM421F pick and place
- Heller 1707 MK III reflow oven
- Nordson YESTECH BX-12 automated optical inspection
For those of you who like to be mesmerized by big machines moving thousands of tiny components quickly, we also have a video that shows the full pick-and-place sequence of a panel of forty A-Star Micros. (Note that this is not an accurate representation of the assembly time since the feeders are moved to the side to make room for the camera.)
For more videos like these, see our YouTube playlist: Pololu manufacturing: how our products are made and subscribe to our channel. By the way, you can still get a free A-Star Micro with your order over $100.
Abe Howell posted to our forum about a Kickstarter campaign for a robot he calls Apeiros. It is an open-source robot he designed as a teaching tool for STEM. Apeiros uses some of our parts and our laser cutting service in its construction. It is also designed to be upgraded with some of our sensors like the QTR-3 or QTR-8 reflectance sensor arrays or the Sharp GP2Y0D810Z0F Digital Distance Sensor. Some of the higher pledge rewards on the Kickstarter include these sensors. You can learn more about the robot on its Kickstarter page.
You have probably seen wheels on things like scooters, skateboards, baby-strollers, and inline skates, and noticed just how similar these common wheels are in size and shape. In fact, they are so similar that the industries built up around them have converged upon using a few standard bearings. We found that one of the most popular bearings used with wheels like those is the metric 608 ball bearing. The 608 bearing has well defined tolerances, measures 22 mm wide by 7 mm tall, and features an 8 mm bore.
We recently used these measurements to create a series of adapters that enables you to use these widely-available wheels as drive wheels, which opens up a much larger variety of wheels to use with our motors!
Exploded view of the scooter wheel adapter assembly with a gearmotor and scooter wheel.
These adapters mount via set screw(s) to your motor’s output shaft (works best with D-shaped output shafts) and clamp tightly to the wheel.
This week I released version 2.0.0 of minimu9-ahrs, an open-source demo program that runs on the Raspberry Pi, reads data from a MinIMU-9 via I²C, and uses the readings to calculate the orientation of the IMU. The new version adds support for the MinIMU-9 v3. The program now supports all past and present versions of the MinIMU-9.
The original version of minimu9-ahrs was released back in 2012, along with ahrs-visualizer, a program for displaying the orientation in 3D. For more background, you can see my blog post about minimu9-ahrs from 2012 or read the Raspberry Pi blog post about it from June 2014. The video below shows minimu9-ahrs and ahrs-visualizer working together:
Version 2.0.0 of minimu9-ahrs also includes some other changes:
In this new version, the raw accelerometer readings that you can get using the
--mode raw option have basically been multiplied by 16 from what they were before. We made this same change to our LSM303 Arduino library when we added support for the LSM303D. The reason for this change is that before the MinIMU-9 v3, all the MinIMU-9 accelerometers were 12-bit, with the lower 4 bits of the output registers being unused, so we always shifted the readings to the right by 4 bits to get rid of the unused bits. The LSM303D in the MinIMU-9 v3 has a 16-bit output, so shifting its readings to the right by 4 bits would be inappropriate. However, it is nice for the raw accelerometer readings to have the same scale regardless of which accelerometer you happen to be using, so we chose to stop shifting the output of any of the accelerometers. All the accelerometers are configured to have a full-scale range of ±8 g by minimu9-ahrs, so a reading of 4096 will always correspond to about 1 g. This change should not affect most users, but it is not backwards-compatible, so, following semantic versioning, I incremented the major version number from 1 to 2.
The Debian package that I made for minimu9-ahrs version 2.0.0 uses the armhf architecture instead of armel (which was used for previous versions), so you can easily install it on a Raspberry Pi running Raspbian. I also made a new version of ahrs-visualizer that has an armhf package. If you are not using a Debian-based distribution like Raspbian or you are not using the armhf architecture, you can still compile the programs from source.
With this new version of minimu9-ahrs and our recent big price reduction of Pololu IMUs (which made the MinIMU-9 less expensive than a Raspberry Pi), now is a great time to start experimenting with these state-of-the-art MEMS sensors.
Related past posts
- Big price reduction of Pololu MEMS sensor carriers and IMUs
- New product: AltIMU-10 v4 gyro, accelerometer, compass, and altimeter
One of our customers made a hexapod that is controlled with a PlayStation controller. It uses our 18-channel Mini Maestro to command the servos and a MinIMU-9 v2 for stabilization. The hexapod’s movements are directed by a BeagleBone Black running Robot Operating System (ROS). The physical body of the hexapod is based on a Lynxmotion Phoenix design and was constructed by the customer. The project is well documented and more details can be found in the original post. However, the post is in Russian, so you might need to запустить страницу через переводчика.
We posted recently about how progress in MEMS sensors has resulted in a constant stream of improved Pololu breakout boards. This week, we brought some of that technological progress to our Zumo robot with the release of a new “v1.2” version of the Zumo Shield for Arduino. This new version upgrades the previously-included LSM303DLHC compass to nine channels of inertial sensing using the newer LSM303D compass and L3GD20H gyroscope.
That means that the new Zumo shield includes a full inertial measurement unit (IMU) – the equivalent of a MinIMU-9 v3 – letting you turn it into a complete AHRS by adding an Arduino or compatible controller.
The v1.2 update extends to three new products:
- Zumo Shield for Arduino, v1.2
- Zumo Robot Kit for Arduino, v1.2 (No Motors)
- Zumo Robot for Arduino, v1.2 (Assembled with 75:1 HP Motors)
Other parts, such as the Zumo chassis, sumo blade, and reflectance sensor array, are not affected by this update, and the new Zumo shield is mechanically and electrically compatible with the previous model. They are also completely code-compatible except for the MEMS sensor aspects, which are already supported by our open-source Arduino libraries.
Two weeks ago, we announced a big price reduction of our MEMS-based sensors and explained a little about why we release new versions of these boards so frequently. If you looked closely at the diagram showing the evolution of our ST MEMS sensor boards, you might have noticed that we’ve used each IC on a carrier board for that chip by itself, as well as on an IMU board combined with other sensors, with one exception: the LPS25H pressure sensor. When that post was written, we had recently released our LPS25H carrier, but we did not yet offer an IMU featuring this new barometer IC. The AltIMU-10 v3, which uses the older LPS331AP pressure sensor, was the newest AltIMU available from us at the time.
With the release of the AltIMU-10 v4 this week, that updated IMU is now available. Like the v3 version, the AltIMU-10 v4 contains an LSM303D three-axis magnetometer and accelerometer and an L3GD20H three-axis gyro, and it replaces the LPS331AP pressure sensor on the older board with the improved LPS25H, enabling pressure and altitude measurements with higher accuracy and lower noise.
We think the AltIMU-10 v4 combines the state of the art in ST’s MEMS sensors into one compact module at a great price. However, we’ve also put the AltIMU-10 v3 on clearance and lowered its price; if you don’t absolutely need ST’s newest pressure sensor on your IMU, the v3 is still a very good sensor board to consider.
Here’s an updated version of our diagram showing where the new AltIMU-10 fits in:
Evolution and release dates of Pololu carriers for ST’s MEMS sensors through June 2014.
Tomorrow is Tau Day! To celebrate, I thought I should write something about how we use math on our website.
Mathematics is essential to engineering, so we often need to use math when presenting a product or discussing some point about robotics and electronics. In the past, we have struggled to come up with our own ways of getting math online, such as using HTML code (e.g. a 1×2 table with an internal border can look like a fraction) or finding some engineer here who knows how to type up equations in LaTeX and export images.
Over the past month, we have quietly switched to MathJax, which is the technology used on the very popular site MathOverflow. We are using MathJax, for example, to explain current and voltage settings for our new TPS2113A carrier and to show how to compute the exact gear ratios of some of our Micro Metal Gearmotors – the 1000:1 Micro Metal Gearmotor being a particularly good example since it has so many gears.
MathJax allows us to type math directly into web pages using simple text codes, and it uses modern features of your web browser to format the math for you as the page is loaded. If you reload this page and watch the equation below carefully, you will briefly see the raw code before MathJax redraws it:
``int_0^oo e^(-x^2) dx = sqrt pi / 2``
(The integral of a Gaussian has long been one of my favorite mathematical exercises.)
Try it yourself
Instead of using the LaTeX syntax used on MathOverflow, we chose a simpler input format called ASCIIMath. You can read documentation on the ASCIIMathML page. The way it works is that you type ASCIIMath code within double back-quotes, like this:
``int_0^oo e^(-x^2) dx = sqrt pi / 2``
We have enabled MathJax throughout the site, including blog comments, so that you can participate fully in discussions here, starting with this little Tau Day celebration. So, what is your favorite equation? Try out MathJax and share it with us in the comment section below!
The folks from SHARC have converted a Jeep into an autonomous robot for SparkFun’s annual Autonomous Vehicle Competition that took place last weekend. Their robot, Troubled Child, won first place in its class and the “Crowd Favorite” award.
Long-time customer Michael Shimniok (our first blog post — from before we called it a blog — was about a tutorial he wrote for programming AVRs from a Mac) used his 1986 Jeep Grand Wagoneer to explore the back roads of Colorado and Utah before converting it into an autonomous vehicle. The autonomous Jeep uses our D15V35F5S3 switching step-down voltage regulator for powering the on-board electronics, and our dual relay board for running the warning horn and deactivating the pneumatic brake failsafe.
You can check out their final run from inside the vehicle in the video below.