Automated Drink Mixer Is The Life Of The Party

Hosting a New Year’s Eve party, but don’t want to be stuck behind the bar all night? You could set out a bowl or two of spiked punch, but where’s the hack? Free yourself from drink slinging duties with the Automated Drink Mixer created by Cornell University students [Justin] and [Austin]. Their design uses a 14″ diameter lazy Susan powered by a 12V bi-directional motor attached to a 2″ rubber wheel. The motor is capable of 70RPM, so the glass ultimately rides around at 10RPM. Orders are entered on a push-button menu. As this is a school project that should adhere to IEEE standards, all libations are non-alcoholic.

The software uses an overarching state machine, so the system polls for input from the menu at idle. When it receives an order, the lazy Susan rotates the glass to the right spout or series of spouts and then returns it to the starting point. [Justin] and [Austin] controlled the position of the glass with an IR emitter and phototransistor. This pair detects the black strips of tape around the edge which are spaced 60° apart. A comparator digitizes the signal and triggers an interrupt in the software, which counts the number of 60° slices. A full demonstration is waiting for you after the jump. Before you jump: drink responsibly, kids. If you aren’t up to that particular challenge, make yourself an alcohol-aware LED ice cube. If you need more LEDs in your life, whip up the Inebriator.

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DARPA Robotics Challenge Trials Wrap Up

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The DARPA robotics challenge trials 2013 are have finished up. The big winner is Team Schaft, seen above preparing to drive in the vehicle trial. This isn’t the end of the line for DARPA’s robotics challenge – there is still one more major event ahead. The DARPA robotics finals will be held at the end of 2014. The tasks will be similar to what we saw today, however this time the team and robot’s communications will be intentionally degraded to simulate real world disaster situations. The teams today were competing for DARPA funding. Each of the top eight teams is eligible for, up to $1 million USD from DARPA. The teams not making the cut are still welcome to compete in the finals using other sources of funding.

The trials were broken up into 8 events. Door, Debris, Valve, Wall, Hose, Terrain, Ladder, and Vehicle. Each trial was further divided into 3 parts, each with one point available. If a robot completed the entire task with no human intervention it would earn a bonus point. With all bonuses, 32 points were available. Team Schaft won the event with an incredible total of 27 points. In second place was Team IHMC (Institute for Human Machine Cognition) with 20 points. Team IMHC deserves special praise as they were using a DARPA provided Boston Dynamics Atlas Robot. Teams using Atlas only had a few short weeks to go from a completely software simulation to interacting with a real world robot. In third place was Carnegie Mellon University’s Team Tartan Rescue and their Chimp robot with 18 points.

The expo portion of the challenge was also exciting, with first responders and robotics researchers working together to understand the problems robots will face in real world disaster situations. Google’s recent acquisition — Boston Dynamics — was also on hand, running their WildCat and LS3 robots. The only real downside to the competition was the coverage provided by DARPA. The live stream left quite a bit to be desired. The majority of videos on DARPA’s YouTube channel currently consist of 9-10 hour recordings of some of the event cameras. The wrap-up videos also contain very little information on how the robots actually performed during the trials. Hopefully as the days progress, more information and video will come out. For now, please share the timestamp and a description of your favorite part with your comments.

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Fubarino Contest: Minecraft, Zelda, Arduinos, And Hackaday

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In a clever bit of pandering to the gamer crowd for the Fubarino Contest, [Laurens] has combined The Legend of Zelda, Minecraft, and an Arduino to create something really, really cool.

[Laurens] cobbled together an Arduino, MIDI connector, and LCD display that will read a MIDI keyboard and detect when one of the songs from Ocarina of Time/Majora’s Mask is played. The Arduino then plays back the song slower and longer, just like in the game.

Here’s where things get cool: Since [Laurens] has an Arduino that knows when an OoT/MM song is played, he can have the Sun Song control the lights, or the Song of Storms turn his sprinkler system on. He chose to pipe all these commands into Minecraft, where the Song of Healing gives some health to the Minecraft character, the Song of Storms controls the rain, and other awesome mashups of Zelda and Minecraft.

This project offers more than enough to stand on its own, but [Laurens] also added a Hackaday easter egg. When playing the letters HAD in ASCII on the keyboard, our favorite URL shows up on the Arduino and inside Minecraft.

Here’s an image gallery and the source code (dropbox, so don’t spam it) for [Laurens]’ awesome project.


This is an entry in the Fubarino Contest for a chance at one of the 20 Fubarino SD boards which Microchip has put up as prizes!

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Trainable Robotic Arm

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When [Robert] realized Adafruit is now selling analog feedback servos, he decided he just had to make a programmable robot arm that could be trained like the commercially available Baxter robot.

The neat thing with the analog feedback servos is it takes all the complexity out of training a robot. All you have to do is put the robot in teach mode, physically move the robot’s joints to the positions you want, and save your program! Depending on your application, it certainly beats trying to work out the fun kinematics equations…

Anyway, the full guide available on Adrafuit’s learning system provides instructions on how to build your own arm from scratch (well, with a 3D printer) or how to replace the servos in a pre-made toy robotic arm you might already have sitting around. It’s very thorough and includes all the code you need for your Arduino too.

Stick around after the break to see how the robot works!

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Quick Candy Sorting Machine

OCD. Sometimes things just get to you, like those pesky bags of randomly assorted candies. [Torsten] decided to build a sorting machine capable of sorting Skittles or M&Ms into separate cups by color at around 80 pieces per minute. It’s a great implementation, using an Arduino Duo. He based the code on the principles of a finite-state machine, in order to make it as quick as possible.

It works as you would expect: When a candy piece is loaded, the color is determined using an RGB sensor. A 360-degree servo is used to move the chute to the proper position, and interestingly, the system preemptively releases the candy before the chute is in position in order to maximize the speed. If you watch closely, you can see this behavior in the video (embedded after the break).

[Torsten] includes a complete bill of materials, if you’d like to try it for yourself. He also included a list of possible improvements.

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A Clock Built From Scraps

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Who doesn’t love a good surplus store? [Tyler Bletsch] just finished up this awesome clock hack by re-purposing a scrapped medical circuit board.

Ax-Man Surplus in Minneapolis has all kinds of goodies and it’s been around a long time (here’s a hack from the ’90s that source from the store). One day while digging through their inventory, [Tyler] found a bunch of scrap circuit boards with 7-segment displays. At $2 a pop, he decided to risk it to tinker with.

He quickly identified the main chip on the board to be a common LED driver (MAX7221) and began reverse engineering the board by tracing the circuit. He actually has a brilliant guide on his website about how to make circuit tracing way easier. From there it was just a matter of loading a MAX7221 library onto a ATtiny44, adding a 16MHz crystal, and since there’s an extra 2 digits available on the display… a temperature sensor too!

It’s a great little hack, and as it turned out, there wasn’t anything wrong with the boards, except for a minor typo in the company’s name. Hooray for reusing scrapped parts!

3D Scanner Using A Sharp Infrared Sensor

[Fernando] sent in a tip about a pet project he’s been working on. It’s an interesting take on a 3D scanner. He used a stepper motor to rotate the object being scanned, and an Arduino for control, but the real novelty is the way he used the sensor. [Fernando] mounted a Sharp GP2D120X on vertical surface, and used a second stepper motor to raise the sensor during the scan. As you can see in the videos (embedded after the break), this results in the scan being put together in an ascending spiral.

The Sharp sensor is cheap and decent, but you’re obviously not going to get amazing accuracy. Still, using the average of several measurements, he ends up with a decent result. Happily, [Fernando] has released the code, and it should be easy enough to repurpose it with a more accurate sensor. It would be interesting to see a laser-based sensor paired with this code.

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