Yet Another Self-Balancing Unicycle

No one has time to hone their balancing skills these days, and if building your own Segway doesn’t generate enough head-turning for you, then the self-balancing unicycle from the guys at [Scitech] should. Their build is chain-driven, using easy-to-find salvaged Razor scooter parts. Throw in a motor controller, 5DOF IMU and some batteries and it’s almost ready to burn up the sidewalks in hipster-tech style.

Some of the previous unicycle builds we’ve seen are a little on the bulky side, but the [Scitech] cycle aims for simplicity with its square tube steel framing and footrests. As always, unicycle builds like these take some effort on behalf of the rider: shifting your weight controls steering and throttle. The [Scitech] gang also discovered that it’s usually best when you don’t accidentally wire the motors up to the controller backwards. We recommend that you find a helmet and watch the video after the break.

Too-cool-for-unicycle hackers can build a dangerously fast e-skateboard instead.

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Adding An Optical Mouse Sensor To An Autonomous Vehicle

[Tim] is getting his drone ready for SparkFun’s 2013 Autonomous Vehicle Competition on June 8th. He has a pretty good start, but was having some problems accurately measuring travel distance. The technique he chose for the task was to glue magnets onto the axles of the vehicle and monitor them with a hall effect sensor. Those sensors are finicky and a few problems during testing prompted him to look at a redundant system. Right now he’s experimenting with adding an optical mouse sensor to the autonomous vehicle.

Recently we saw the same concept used, but it was meant for tracking movement of a full-sized automobile. If it can work in that application it should be perfect here since the vehicle is much closer to the ground and will be used in ideal conditions (flat pavement with clear weather). [Tim] cracked open an old HP mouse he had lying around. Inside he found an Avago ADNS-5020 sensor. After grabbing the datasheet he discovered that it’s simply an I2C device. Above you can see the Arduino Leonardo he used for the first tests.

[Tim] coded functions to monitor the chip, including some interesting ones like measuring how in-focus the surface below the sensor is. This brings up a question, is there limit on how fast the vehicle can travel before the sensor fails to report back accurately?

SparkFun Takes Their Educational Show On The Road

sparkfun-national-education-tour

They’ve bought an RV and are headed for your state with buckets full of hobby electronic hardware. It’s SparkFun’s National Education tour and if you want them to host a workshop for kids in your area now’s the time to sign up!

It’s no stretch to say that our everyday lives are tightly bound with technology. Chances are every one of the kids in this picture will walk around with an embedded system in their pockets by the time they hit middle school if not earlier (seriously, many of them have the newest generation of high-end smart phones). The sad fact is that nearly 100% will never have any idea how the hardware in those devices functions. And that’s where we think this program really shines.

SparkFun is scheduling 50 stops where $1000 of the cost is subsidized. The team will work with each school/organization to come up with an appropriate workshop for the age of the students and their base knowledge on the topic. Hopefully this will inspire a new generation of hardware hackers who will eventually contribute to using technology to solve world issues. Check out their promo clip after the jump.

We mentioned subsidized visits. The program still costs $1500 and will go up to $2500 after the first 50 stops. But the hardware used in the workshop stays with the kids. And we hope that the $37.50-$125/head price tag will be seen as a worthwhile investment in getting kids interested in more than just entertaining themselves with the social medial offerings running on the hardware.

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Self-balancing Unicycle Using Arduino And Sparkfun IMU

Raptor-Bike-self-balancing-unicycle

Here’s proof that you can build cool stuff with simple tools. This self-balancing unicycle uses an Arduino and a five degree of freedom IMU from Sparkfun to keep the rider upright. Well, it’ll keep you upright as long as you have good side-to-side balance. But that’s true of any unicycle, right?

The Raptor was built by [Nick Thatcker] who is no stranger to self-balancing transportation. A few years back he built a Segway clone and the same type of geared motor used in that project also went into this one. I connects to the wheel with a chain, allowing him to keep the motor hidden in the saddle. He gets between 90 and 120 minutes of used on one charge with a top speed of 10 MPH. The motor could move you along faster but he has limited this in firmware to ensure it has enough power to ‘catch up’ if you lean too far forward.

Don’t miss the demo after the break. If you like this unicycle there are several others worth looking at.

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Sparkfun Recognized For Their Growth

The Denver Business Journal has recognized Sparkfun Electronics as the 2nd fastest growing company in the Denver area (in the $17.5-$46million class). This is fantastic news, not only for Sparkfun, but for Open Source Hardware.  Sparkfun is the worlds largest manufacturer of open source hardware, located right in the middle of the country, Boulder Colorado.

Not only has Sparkfun grown immensely in open source hardware products, they’ve also put together several educational systems like their tutorial section as well as their “learn at sparkfun” system. Way to go sparkfun!

AVC From The Vehicle’s Perspective

Team 0x27 was the winner of this year’s AVC, the Autonomous Vehicle Contest put on by SparkFun Electronics. You’ll find video of the two runs from this entry (the third run did not finish). We love it that there’s an on-board camera recording both video and sound of the race from the vehicle’s point of view. They haven’t updated their team page yet but we’re sure they will once their done celebrating.

On the first run the team opted not to use obstacle avoidance, and here you can see it annihilating one of the barrels from the course (this is the second one it took out with hulk-like rage). These collisions didn’t keep it from finishing the circuit. On the second run it didn’t slam into anything. Because of the hoop-deduction (a bonus for threading the needle during the run) the official time came in at 2.08 seconds. Still, the unadjusted time of 32.08 seconds is a course record and beat the fastest finisher from the airborne group of compeititors. Nice.

Seriously, this video just cracks us up!

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Cramming For Sparkfun’s Autonomous Vehicle Competition

[Paul Breed] participated in this year’s Autonomous Vehicles Contest put on by SparkFun Electronics. As with most projects, the deadline really snuck up on him and he ended up cramming a bunch of code development into the waning days before the competition. His experiences are shared in this recent blog post.

One big part of the hardware is a laser range finder used for wall following. This is explained well in the video after the break, but you can see the side-pointing blue box in the image above. [Paul] also spent a lot of time preparing for the checkpoint portion of the course where the vehicle would need to pass through a red hoop. He worked long and hard on an image processing setup to find and navigate those hoops before learning that they would be positioned at known locations and it would be much easier to use a path following technique to complete the challenge.

He had a few follies along the way. At one point during debugging the car — which was connected to his laptop via Ethernet — it got away from him. This ripped the NIC right out of the back of his computer. And on the day of the event he had some low battery issues that zapped his laser calibrations. But [Paul] rolled with the punches and ended having what sounds like a really exciting experience participating in the contest.

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