The Ultimate FPV Cleans House

With much of the world in the doldrums of the winter, hackers are getting a bit stir crazy. [Notamed Closed] would much rather be outside flying his First Person View (FPV) quadcopters. Sure there are indoor drones, but [Notamed] wanted to keep grounded. He grabbed his R/C equipment, his Roomba, and of course an Arduino to build the ultimate FPV experience.

There aren’t many details on this build, but it’s not too hard to deduce what [Notamed] has done. He’s using a standard R/C transmitter and receiver. Instead of driving servos, the receiver plugs into an Arduino Uno. The Uno translates the PPM R/C signals to serial commands. Most Roomba’s include a serial port made especially for hackers. [Notamed] simply sends the proper iRobot Serial Command Interface (SCI) messages, and the robot is his to control.

The FPV side of things is a bog standard FPV camera and transmitter, sending standard definition video to his goggles. A GoPro is along for the ride to capture high-quality video.

Sure this is a quick hacked together build. All the parts are taped on to the Roomba. We’re sure this is on purpose. When the weather warms up, the R/C equipment goes back in the air, and the Roomba becomes just another vacuuming robot – once again a danger to pet messes everywhere.

Check out the video after the break.

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Robot Leaps Uncanny Valley On Backward Knees

We’ve covered a ton of Boston Dynamics robots but this is the second one in a row that has shown a departure from what a lot of people’s notion of an ‘advanced’ robot should look like. It’s a cellphone camera clip of a video played at a conference, but at least it isn’t vertical video — kudos to [juvertson]. At about 3:40 seconds into the video you get a good look “Handle” at a four-limbed robot with backwards joints and wheel.

This design makes a lot of sense and it’s good to see Boston Dynamics thinking about unique robot kinematics alongside the realities of motion. The result is something that appears neither human nor animal — it’s definitely not natural. Despite the presenter’s assertion that this will be nightmare-inducing, we think it’s the opposite, since it doesn’t tweak that string in your brain that cries “predator”.

Obviously this is what we’d call a self-balancer. But two-wheels-plus-rigid-frame it is not. The articulated lower limbs allow it to shift its mass over the wheels. The upper limbs play their part in balancing, at one point acting in the same way a figure skater’s arms would during a spin. And its dexterity in hopping over an obstacle is only made better by [juvertson’s] commentary. This is a really good balance between purely wheeled and purely humanoid designs and a nice addition to the evolution of robotics.

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Tiny Robot Clings To Leaves With Static Electricity

Flying is an energy-intensive activity. The birds and the bees don’t hover around incessantly like your little sister’s quadcopter. They flit to and fro, perching on branches and leaves while they plan their next move. Sure, a quadcopter can land on the ground, but then it has to spend more energy getting back to altitude. Researchers at Harvard decided to try to develop flying robots that can perch on various surfaces like insects can.

Perching on surfaces happens electrostatically. The team used an electrode patch with a foam mounting to the robot. This allows the patch to make contact with surfaces easily even if the approach is a few degrees off. This is particularly important for a tiny robot that is easily affected by even the slightest air draft. The robots were designed to be as light as possible — just 84mg — as the electrostatic force is not particularly strong.

It’s estimated that perching electrostatically for a robot of this size uses approximately 1000 times less power than during flight. This would be of great use for surveillance robots that could take up a vantage point at altitude without having to continually expend a great deal of energy to stay airborne. The abstract of the research paper notes that this method of perching was successful on wood, glass, and a leaf. It appears testing was done with tethers; it would be interesting to see if this technique would be powerful enough for a robot that carries its own power source. Makes us wonder if we ever ended up with tiny flyers that recharge from power lines?

We’re seeing more tiny flying robots every day now – the IMAV 2016 competition was a great example of the current state of the art.

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Ping Pong Ball-Juggling Robot

There aren’t too many sports named for the sound that is produced during the game. Even though it’s properly referred to as “table tennis” by serious practitioners, ping pong is probably the most obvious. To that end, [Nekojiru] built a ping pong ball juggling robot that used those very acoustics to pinpoint the location of the ball in relation to the robot. Not satisfied with his efforts there, he moved onto a visual solution and built a new juggling rig that uses computer vision instead of sound to keep a ping pong ball aloft.

The main controller is a Raspberry Pi 2 with a Pi camera module attached. After some mishaps with the planned IR vision system, [Nekojiru] decided to use green light to illuminate the ball. He notes that OpenCV probably wouldn’t have worked for him because it’s not fast enough for the 90 fps that’s required to bounce the ping pong ball. After looking at the incoming data from this system, an algorithm extracts 3D information about the ball and directs the paddle to strike the ball in a particular way.

If you’ve ever wanted to get into real-time object tracking, this is a great project to look over. The control system is well polished and the robot itself looks almost professionally made. Maybe it’s possible to build something similar to test [Nekojiru]’s hypothesis that OpenCV isn’t fast enough for this. If you want to get started in that realm of object tracking, there are some great projects that make use of that piece of software as well.

Taking Control Of Your Furby

Furbys have been around for a while and they are an interesting (if annoying) toy that will teach the kids to be okay with their eventual robotic overlords. In the meantime, the latest version of the robotic companion/toy/annoyance uses Bluetooth LE to communicate with the owner and [Jeija] has been listening in on the Bluetooth communication, trying to reverse engineer the protocol in order to run code on Furby.

[Jeija] has made a lot of progress and can already control the Furby’s actions, antenna and backlight color, and change the Furby’s emotional state by changing the values of the Furby’s hungriness, tiredness, etc. [Jeija] has created a program that runs on top of Node.js and can communicate with the Furby and change its properties. [Jeija] has also discovered, and can bring up, a secret debug menu that displays in the Furby’s eyes. Yet to be discovered is how to run your own code on the Furby, however, [Jeija] is able to add custom audio to the official DLC files and upload them into the Furby.

[Jeija] points out the all this was done without taking a Furby apart, only by sniffing the Bluetooth communication between the robot and the controlling app (Android/iOS device.) Check out a similar hack on the previous generation of Furbys, as well as a replacement brain for them. We just hope that the designers included a red/green LED so that we will all know when the Furbys switch from good to evil.

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Lego Boosts Their Robotic Offering

Kids often have their first exposure to robots in school using Lego Mindstorm kits. Now Lego is rolling out Boost — a robotic kit targeting all Lego builders from 7 years old and up. The kit is scheduled to be on the market later this year (it appeared at the recent CES) and will sell for about $160.

[The Brothers Brick] had a chance to try the kit out at CES (see the video below) and you might find their review interesting. The kit provides parts and instructions to build five different models: a cat, a robot, a guitar, a 3D printer, and a tracked vehicle. You can check out the official page, too.

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Brain Controlled Tracked Robot

[Imetomi] found himself salvaging a camera from a broken drone when he decided to use it in a new project, a tracked robot with a live video feed from the mounted camera.

… I had a cheap Chinese drone that was broken, but its camera seemed to be operating and when I took apart my drone I found a small WiFi chip with a video transmitter. I (decided) that I will use this little circuit for a project and I started to buy and salvage the parts.

Being a tracked robot, it can negotiate most types of terrain and climb hills up to 40 degrees. It is powered by two 18650 lithium-ion batteries with a capacity of 2600 mAh and the remote control is based on the HC-12 serial communication module. You can control it with a joystick and watch the camera’s live-stream in a virtual reality glass. That’s pretty neat but it’s not all.

[Imetomi] also used a hacked Nacomimi Brainwave Toy to make a brain controlled version of his robot. The brainwaves are detected using sensors placed on the scalp. To actually control it the operator has to focus on the right hand to move right, focus on the left hand to move left, blink to move forward and blink again to stop. There is also an ultrasonic sensor to help navigation so the robot doesn’t bump into things. It’s not very precise but you can always build the joystick version or, even better, make a version with both controls.

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