The reason we’re playing with quadcopters, flight controllers, motion controlled toys, and hundreds of other doodads is the MEMS revolution. A lot is possible with tiny accelerometers and gyroscopes, and this is looking like the smallest IMU yet. It’s an 18mm diameter IMU, with RF networking, C/C++ libraries, and a 48MHz ARM microcontroller – perfect for the smallest, most capable quadcopter we’ve ever seen.
The build started off as an extension of the IMUduino, an extremely small rectangular board that’s based on the ATMega32u4. While the IMUduino would be great for tracking position and orientation over Bluetooth, it’s still 4cm small. The Femtoduino cuts this down to an 18mm circle, just about the right size to stuff in a model rocket or plane.
Right now, femtoIO is running a very reasonable Kickstarter for the beta editions of these boards with a $500 goal. The boards themselves are a little pricey, but that’s what you get with 9-DOF IMUs and altimeter/temperature sensors.
The latest gizmo that you can make using the cheap and easy Raspberry Pi is here courtesy of [Mark Williams]. He has hooked up an inertial measurement unit (IMU) to the Pi and built an inclinometer to use to measure the various angles of an off-road vehicle.
This particular guide goes through the setup of SDL to control the video output to a small screen. Then, a function is created to rotate the images based on input from the IMU so that the vehicle position can be shown graphically on the screen. Now, when your truck is about to roll over on a hill, you’ll get advance warning!
Of course, this whole project is predicated on installing the IMU and getting it up and running on the Raspberry Pi in the first place. [Mark] has you covered on a guide for setting that up as well. This delves into setting up the IMU over I2C to get it talking to the Raspberry Pi, and then converting the raw data from the IMU into data that is more usable. Be sure to check out [Mark]’s page for all of the code and details!
The best projects have a great story behind them, and the Apollo from Carbon Origins is no exception. A few years ago, the people at Carbon Origins were in school, working on a high power rocketry project.
Rocketry, of course, requires a ton of sensors in a very small and light package. The team built the precursor to Apollo, a board with a 9-axis IMU, GPS, temperature, pressure, humidity, light (UV and IR) sensors, WiFi, Bluetooth, SD card logging, a microphone, an OLED, and a trackball. This board understandably turned out to be really cool, and now it’s become the main focus of Carbon Origins.
There are more than a few ways to put together an ARM board with a bunch of sensors, and the Apollo is extremely well designed; all the LEDs are on PWM pins, as they should be, and there was a significant amount of time spent with thermal design. See that plated edge on the board? That’s for keeping the sensors cool.
The Apollo will eventually make its way to one of the crowdfunding sites, but we have no idea when that will happen. Carbon Origins is presenting at CES at the beginning of the year, so it’ll probably hit the Internet sometime around the beginning of next year. The retail price is expected to be somewhere around $200 – a little expensive, but not for what you’re getting.
There are a ton of apps out there for taking notes and recording ideas, but sometimes the humble pen is best. However, if you have the tendency to lose, crumple, or spill caffeinated beverages on your pen and paper notes, having a digital copy is quite nice.
The NoteOn Smartpen by [Nick] aims to digitize your writing on the fly while behaving like a normal pen. It does this by using the ST LSM9DS0TR: a 9-axis inertial measurement unit (IMU). These inertial measurements are processed by a STM32 Cortex M4F processor and stored on the internal flash memory.
To retrieve your notes, the Nordic nRF8001 Bluetooth Low Energy radio pairs the MCU with a phone or computer. The USB port is only used to charge the device, and the user interface is a single button and LED.
The major hardware challenge of this device is packaging it in something as small as a pen. Impressively, the board is a cheap 2 layer PCB from OSHPark. The assembled device has a 10 mm diameter, which is similar to that of ‘dumb’ pens.
The NoteOn doesn’t require special paper, and relies only on inertial measurements to reconstruct writing. With the hardware working, [Nick] is now tackling the firmware that will make the device usable.
The project featured in this post is a quarterfinalist in The Hackaday Prize.
Like Adventure Time? Make your own BMO! It’s a little more expressive than the Adafruit version we saw earlier due to the Nokia LCD. It’s got audio playback too so it can talk to football.
A few years ago, [Matt] made a meat smoker with a PID controller and an SSR. Now the same controller is being used as a sous vide. PID controllers: the most useful kitchen gadget ever.
[Josh] keeps his server in a rack, and lacking a proper cable management solution, this means his rack is a mess. He adapted some Dell wire management arms to his system, using a PCI card bracket to attach the arm to the computer.
[Dr. Dampfpunk] has a lot of glowey things on his Youtube channel
Another [Josh] built a 3D tracking display for an IMU. It takes data off an IMU, sends it over Bluetooth, and displays the orientation of the device on a computer screen. This device also has a microphone and changes the visualization in response to noises.
Remember the pile of failure in a bowl of fraud that is the Scribble pen? Their second crowdfunding campaign was shut down. Don’t worry; they’re still seeking private investment, so there’s still a chance of thousands of people getting swindled. We have to give a shout-out to Tilt, Scribble’s second crowdfunding platform. Tilt has been far more forthcoming with information than Kickstarter ever has with any crowdfunding campaign.
The Kinect has long been able to create realistic 3D models of real, physical spaces. Combining these Kinect-mapped spaces with an Oculus Rift is something brand new entirely.
[Thomas] and his fellow compatriots within the Kintinuous project are modeling an office space with the old XBox 360 Kinect’s RGB+D sensors. then using an Oculus Rift to inhabit that space. They’re not using the internal IMU in the Oculus to position the camera in the virtual space, either: they’re using live depth sensing from the Kinect to feed the Rift screens.
While Kintinuous is very, very good at mapping large-scale spaces, the software itself if locked up behind some copyright concerns the authors and devs don’t have control over. This doesn’t mean the techniques behind Kintinuous are locked up, however: anyone is free to read the papers (here’s one, and another, PDF of course) and re-implement Kintinuous as an open source project. That’s something that would be really cool, and we’d encourage anyone with a bit of experience with point clouds to give it a shot.
Continue reading “Virtual Physical Reality With Kintinuous And An Oculus Rift”
[Trandi] can check ‘build a self-balancing robot’ off of his to-do list. Over a couple of weekends, he built said robot, and, in his own words, managed not to over-design it. It even kept the attention of his 2-year-old son for several minutes, and that’s always a plus.
He was originally going to re-purpose one of his son’s RC cars, but didn’t want to risk breaking it. Instead, he designed a triangular 3-D printed chassis to hold a motor and some cogs to fit both the motor shaft and some re-used Meccano wheels. [Trandi]’s design employs an MPU 6050 6-DOF IMU for the balancing act and is built on an Arduino Nano clone.
[Trandi] is controlling the motor with an L293D, which has built-in flyback diodes to minimize spikes. He found that the Nano clone was not powerful enough to handle everything, so he added an L7805CV voltage regulator. After the break, watch [Trandi]’s cute bot tool around on various types of terrain, with and without a payload.
Don’t have an IMU lying around? You don’t really need one to build a self-balancing bot, as this IR-based lilliputian bot will demonstrate.
Continue reading “Self-Balancing Robots Wobble, But They Don’t Fall Down”