Paul: A Robot And Its Ball

[Jochen Alt]’s Paul is one of the coolest robots of its type, and maybe one of the coolest robots period. Personality? Check. Omniwheels? Check. Gratuitous feats of derring-do? Check. Paul is a ball balancing robot.

Under the hood, Paul isn’t all that strange. He’s got two microcontrollers, one for taking care of the balancing and kinematics, and another that handles the LEDs, speech processor, loudspeaker, remote-control, and other frilly bits. But the mathematics! Paul is a cylinder standing up on top of a bowling ball, so the only way it can roll forwards is to lean forwards. But of course, it can’t lean too much, because it has also got to balance. It’s absolutely the least reasonable means of locomotion. We love it.

[Jochen] was nice enough to put everything up on GitHub, so you can see how it was done, even though it looks like magic. And we dare you to watch the video, embedded below, and not feel at least a pang of sympathy pain when (spoiler alert!) he falls flat on his face. Does he recover? We’d love to know!

Paul is just one of the stellar robots in the 2017 Hackaday Sci-Fi contest, so head on over there if you still don’t have your fill.

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How To Telepathically Tell A Robot It Screwed Up

Training machines to effectively complete tasks is an ongoing area of research. This can be done in a variety of ways, from complex programming interfaces, to systems that understand commands in natural langauge. A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) wanted to see if it was possible for humans to communicate more directly when training a robot. Their system allows a user to correct a robot’s actions using only their brain.

The concept is simple – using an EEG cap to detect brainwaves, the system measures a special type of brain signals called “error-related potentials”. Simply noticing the robot making a mistake allows the robot to correct itself, and for a nice extra touch – blush in embarassment.

This interface allows for a very intuitive way of working with a robot – upon noticing a mistake, the robot is able to automatically stop or correct its behaviour. Currently the system is only capable of being used for very simple tasks – the video shows the robot sorting objects of two types into corresponding bins. The robot knows that if the human has detected an error, it must simply place the object in the other bin. Further research seeks to expand the possibilities of using this automatic brainwave feedback to train robots for more complex tasks. You can read the research paper here.

MIT’s CSAIL work on lots of exciting projects – their video microphone technology is truly astounding.

[Thanks to Adam Connor-Simmons for the tip!]

Hull Pixel Bot, A Mobile Pixel

There are many designs for little two-wheeled robots available to download for constructors with an interest in simple robotics. You might even think there are so many that there could not possibly be room for another, but that has not deterred [Rob Miles]. He’s created HullPixelBot, a platform for a mobile pixel as well as for simple robotic experimentation.

So what makes HullPixelBot more than just Yet Another Arduino Powered Robot? For a start, it’s extremely well designed, and has a budget of less than £10 ($12.50). But the real reason to take notice lies in the comprehensive software, which packs in a language interpreter and MQTT endpoint for talking to an Azure IoT hub. This is much more than a simple Arduino bot on which you must craft your own sketches, instead, it is a platform for which the Arduino bot is merely the carrier.

The project has had quite a while to mature since its initial release, and now has the option of a single pixel or a ring of pixels. The eventual aim is to use swarms of networked HullPixelBots to create large autonomous moving pixel displays, containing more than a hundred individual pixels.

There is an early video of some PixelBots in action which we’ve placed below the break, but it serves more as eye candy than anything else. If you have a spare ten quid, download and print yourself a chassis, install Arduino and motors, and have a go yourself!

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The Enchanting Power Of SDDSbot

Who doesn’t love a good robot? If you don’t — how dare you! — then this charming little scamp might just bring the hint of a smile to your face.

SDDSbot — built out of an old Sony Dynamic Digital Sound system’s reel cover — can’t do much other than turn left, right, or walk forwards on four D/C motor-controlled legs, but it does so using the power of a Pixy camera and an Arduino. The Pixy reads colour combinations that denote stop and go commands from sheets of paper, attempting to keep it in the center of its field of view as it toddles along. Once the robot gets close enough to the ‘go’ colour code, the paper’s  orientation directs the robot to steer itself left or right — the goal being the capacity to navigate a maze. While not quite there yet, it’s certainly a handful as it is.

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Taking A Robot For A Drive

Instructables user [Roboro] had a Mad Catz Xbox steering wheel controller he hasn’t had much use for of late, so he decided to hack and use it as a controller for a robot instead.

Conceivably, you could use any RC car, but [Roboro] is reusing one he used for a robot sumo competition a few years back. Cracking open the controller revealed a warren of wires that were — surprise, surprise — grouped and labelled, making for a far less painful hacking process. Of course, [Roboro] is only using the Xbox button for power, the player-two LED to show the connection status, the wheel, and the pedals, but knowing which wires are which might come in handy later.

An Arduino Uno in the wheel and a Nano in the robot are connected via CC41-A Bluetooth modules which — despite having less functionality than the HM10 module they’re cloned from — perform admirably. A bit of code and integration of a SN754410 H-bridge motor driver — the Arduino doesn’t supply enough current to [Roboro]’s robot’s motors — and the little robot’s ready for its test drive.

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Octosonar Is 8X Better Than Monosonar

The HC-SR04 sonar modules are available for a mere pittance and, with some coaxing, can do a pretty decent job of helping your robot measure the distance to the nearest wall. But when sellers on eBay are shipping these things in ten-packs, why would you stop at mounting just one or two on your ‘bot? Octosonar is a hardware and Arduino software library that’ll get you up and running with up to eight sonar sensors in short order.

Octosonar uses an I2C multiplexer to send the “start” trigger pulses, and an eight-way OR gate to return the “echo” signal back to the host microcontroller. The software library then sends the I2C command to select and trigger a sonar module, and a couple of interrupt routines watch the “echo” line to figure out the time of flight, and thus the distance.

Having two sonars on each side of a rectangular robot allows it move parallel to a wall in a straightforward fashion: steer toward or away from the wall until they match. Watch the video below for a demo of this very simple setup. (But also note where the robot’s 45-degree blind spot is: bump-bump-bump!)

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Toast-Bot Butters For You (Sometimes)

Sometimes — despite impracticality, safety, failure, and general good sense — one has an urge to see a project through for the sake of it. When you’re sick of buttering your toast every morning, you might take a leaf out of Rick Sandc– ahem, [William Osman]’s book and build a toast-bot to take care of the task for you.

[Osman] — opting for nail the overkill quotient — is using a reciprocating saw motor to hold the butter while the toast moves underneath the apparatus on a platform controlled by a linear stepper motor. The frame and mounts for Toast-Bot were cut out of wood on his home-built laser cutter — affectionately named Retina Smelter 9000′ — and assembled after some frustration and application of zip-ties. The final result DOES butter toast, but — well — see for yourself.

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