This project is the warm center of [Alan Kharsansky’s] thesis in Electronic Engineering. It’s an all-in-one control board for a quadcopter. This is the second iteration of the board, the first version he actually etched himself. As you can see after the break the firmware is not quite ready for prime-time. But that doesn’t stop us from appreciating the design choices he’s made.
You can see the effort he made to keep the board symmetrical which will help when it comes time to balance the aircraft. At the center of the PCB is the jewel of the sensor array, a combination accelerometer and gyroscope. This location will help easy the trouble of designing PID algorithms to drive the four propellers. Also included in the sensor array is a magnetometer for navigation, and a barometric pressure sensor which can be used as an altimeter. There are four multipurpose connectors used to drive the motors and provide feedback to the boards. He also included two more sets of pads on the board (without their own connectors) in case he wants to add more motors in the future. The quadcopter can be controlled from a base station via the XBee module.
Continue reading “Quadcopter brain”
Before assuming that the title should be “web crawler,” just shush your shussins’ and check out the video after the break. The Pinoccio, as previously noted, is a board in development as a sort of web-enabled by default Arduino. This makes it perfect for a project like this one where a little rover is controlled from 10,000 Kilometers away, or around 6000 Miles for those of us that dwell in the US.
This setup uses a cell-phone accelerometer in Brazil to allow control of this robot in Nevada. Although close, the control isn’t quite real time, so that has to be accounted for. Something like this could be easily used for a telepresence ‘bot.
If you want to build your own, the assembly time is estimated at 1 hour. Instructions, as well as source code can be found on their page after the video. Although the Pinoccio board won’t be available until at least this summer, maybe this will give someone inspiration to try something similar in the mean time! Continue reading “Pinoccio Web Rover”
This glove controller let you play a musical game. The challenge is to perform the correct wrist motions at the right tempo to play the intro to the song Where is my Mind by the Pixies. This is demonstrated in the video clip after the break.
We often see flex sensors used on the fingers of glove projects, but this one does it all with an accelerometer. That module, along with the Piezo buzzer used for playback are affixed to the small breadboard on the back side of his hand. Rubber bands connect the Arduino to his third and forth fingers. The tempo and rhythm are pre-programmed but the tone generated is based on the gravity reading at the start of each note. If you don’t have your hand positioned correctly the wrong tone will be played.
The code was published in link at the top. It would be fun to see this altered as a hacked Simon Says game.
Continue reading “Music challenge has you flapping your wrist to make sounds”
This robot can find and extinguish fires automatically. It is the culmination of an Embedded Design class project from last school year. [Dan] and his classmates developed a turret that holds both a spray nozzle and heat sensor which would be a fantastic building block for a real-life tower defense game.
The jewel of the sensor array is a TPA81 thermopile array. Note the use of the term ‘array’ in the name. This is more like eight temperature sensors aligned with each other. By monitoring them all, the direction from which the most heat is coming can be determined. Once it’s zeroed in on the fire getting water to the right place can be a difficult task. That’s where the other sensors come into play. An accelerometer allows the bot to determine the angle of the spray nozzle (a weed sprayer was used in this case). An ultrasonic range finder and few algorithms let the Arduino which drives it all make sure that the arc of the water lands on the hot spot. This is all shown quite clearly in the clip below the jump.
Continue reading “Heat-seeking firebot drowns out the flames”
Regular glasses are okay, but these light up and respond to your movement. [Dr. Iguana] is at it again, designing a very interestingly shaped PCB to augment your visual augmentation devices.
The circuit board has two thin curving wings which conform to the shape of a pair of glasses. In the middle there’s a larger area that holds most of the components but it’s still smaller than a common coin cell battery that powers the device. Over each eye there are a half dozen red LEDs which are driven by a PIC 12F1840. It can flash a bunch of patterns the but the interactivity is the real gem of the project. The doctor included an MMA8450 3-axis accelerometer. As you can see in the clip after the break, shaking your head this way and that will be reflected in the pattern of lights.
Continue reading “LED cyber eyes; more nerdy than just taping your glasses”
The hardware that went into this Arduino gaming console is just fine. But the coding that produced this game called Twisted SNAKE is beyond compare. [Rodot] has programmed several games for the hardware, which uses an Arduino, 160×168 TFT screen, a 3 axis accelerometer, and two input buttons. If you’re interested, there is a forum thread in which he talks a bit more about the hardware design. But you’re not going to want to pass up either of the two videos embedded after the break.
The first clip shows off a bouncing-ball platforming game. The accelerometer moves the ball back and forth, and the top scrolling level brings more ledges into play. This in itself is a great game. But the Twisted SNAKE game shown off in the second video makes our own ARM-based Snake game look like a 3-year-old programmed it. [Rodot] filled up all of the program memory of the ATmega328 chip to make this happen. There’s a menu system which allows for color themes and difficulty selection. The game play itself lets the snake travel anywhere it wishes with the tail following behind in graceful curves. Wow!
Continue reading “Fantastic programming makes this Arduino gaming device something special”
If you’re looking to improve the stability of your self balancing robot you might use a
simple horrifying equation like this one. It’s part of the journey [Lauszus] took when developing a sensor filtering algorithm for his balancing robot. He’s not breaking ground on new mathematical ideas, but trying to make it a bit easier for the next guy to use a Kalman filter. It’s one method of suppressing noise and averaging data from the sensors commonly used in robotic applications.
His robot uses a gyroscope and accelerometer to keep itself upright on just two wheels. The combination of these sensors presents an interesting problem in that accelerometer input is most accurate when sampled over longer periods, and a gyroscope is the opposite. This filter takes those quirks into account, while also factoring out sensor noise. Despite the daunting diagram above, [Lauszus] did a pretty go job of breaking down the larger function and showing us where to get the data and how to use it in microcontroller code.