An Impressively Functional Tacobot

We’re big fans of useless machines here at Hackaday, there’s something undeniably entertaining about watching a gadget flail about dramatically without actually making any progress towards a defined goal. But what happens when one of these meme machines ends up working too well? We think that’s just what we might be witnessing here with the Tacobot from [Vije Miller].

On the surface, building an elaborate robotic contraption to (slowly) produce tacos is patently ridiculous. Doubly so when you tack on the need to give it voice commands like it’s some kind of one-dish version of the Star Trek food replicator. The whole thing sounds like the setup for a joke, an assumption that’s only reinforced after watching the dramatized video at the break. But in the end, we still can’t get over how well the thing appears to work.

After [Vije] gives it a list of ingredients to dispense, a robotic arm drops a tortilla on a fantastically articulated rotating platform that can not only spin and move in two dimensions, but can form the soft shell into the appropriate taco configuration. The empty shell is then brought under a rotating dispenser that doles out (or at least attempts to) the requested ingredients such as beef, onions, cheese, and lettuce. With a final flourish, it squirts out a few pumps of the selected sauce, and then presents the completed taco to the user.

The only failing appears to be the machine’s ability to dispense some of the ingredients. The ground beef seems to drop into place without issue, but it visibly struggles with the wetter foodstuffs such as the tomatoes and onions. All we know is that if a robot handed us a taco with that little lettuce on it, we’d have a problem. On the project page [Vije] acknowledges the issue, and says that a redesigned dispenser could help alleviate some of the problem.

The issue immediately brought to mind the fascinating series of posts dedicated to handling bulk material penned by our very own [Anne Ogborn]. While the application here might be a bit tongue-in-cheek, it’s still a perfect example of the interesting phenomena that you run into when trying to meter out different types of materials.

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How Far Can You Push A £500 Small Electric Car; Four Years Of The Hacky Racer

Four years ago when the idea of a pandemic was something which only worried a few epidemiologists, a group of British hardware hackers and robotic combat enthusiasts came up with an idea. They would take inspiration from the American Power Racing Series to create their own small electric racing formula. Hacky Racers became a rougher version of its transatlantic cousin racing on mixed surfaces rather than tarmac, and as an inaugural meeting that first group of racers convened on a cider farm in Somerset to give it a try. Last weekend they were back at the same farm after four years of Hacky Racer development with racing having been interrupted by the pandemic, and Hackaday came along once more to see how the cars had evolved. Continue reading “How Far Can You Push A £500 Small Electric Car; Four Years Of The Hacky Racer”

A 3D-Printed Nixie Clock Powered By An Arduino Runs This Robot

While it is hard to tell with a photo, this robot looks more like a model of an old- fashioned clock than anything resembling a Nixie tube. It’s the kind of project that could have been created by anyone with a little bit of Arduino tinkering experience. In this case, the 3D printer used by the Nixie clock project is a Prusa i3 (which is the same printer used to make the original Nixie tubes).

The Nixie clock project was started by a couple of students from the University of Washington who were bored one day and decided to have a go at creating their own timepiece. After a few prototypes and tinkering around with the code , they came up with a design for the clock that was more functional than ornate.

The result is a great example of how one can create a functional and aesthetically pleasing project with a little bit of free time.

Confused yet? You should be.

If you’ve read this far then you’re probably scratching your head and wondering what has come over Hackaday. Should you not have already guessed, the paragraphs above were generated by an AI — in this case Transformer — while the header image came by the popular DALL-E Mini, now rebranded as Craiyon. Both of them were given the most Hackaday title we could think of, “A 3D-Printed Nixie Clock Powered By An Arduino Runs This Robot“, and told to get on with it. This exercise was sparked by curiosity following the viral success of AI generators, which posed the question of whether an AI could make a passable stab at a Hackaday piece. Transformer runs on a prompt model in which the operator is given a choice of several sentence fragments so the text reflects those choices, but the act of choosing could equally have followed any of the options.

The text is both reassuring as a Hackaday writer because it doesn’t manage to convey anything useful, and also slightly shocking because from just that single prompt it’s created meaningful and clear sentences which on another day might have flowed from a Hackaday keyboard as part of a real article. It’s likely that we’ve found our way into whatever corpus trained its model and it’s also likely that subject matter so Hackaday-targeted would cause it to zero in on that part of its source material, but despite that it’s unnerving to realise that a computer somewhere might just have your number. For now though, Hackaday remains safe at the keyboards of a group of meatbags.

We’ve considered the potential for AI garbage before, when we looked at GitHub Copilot.

Machine Learning Does Its Civic Duty By Spotting Roadside Litter

If there’s one thing that never seems to suffer from supply chain problems, it’s litter. It’s everywhere, easy to spot and — you’d think — pick up. Sadly, most of us seem to treat litter as somebody else’s problem, but with something like this machine vision litter mapper, you can at least be part of the solution.

For the civic-minded [Nathaniel Felleke], the litter problem in his native San Diego was getting to be too much. He reasoned that a map of where the trash is located could help municipal crews with cleanup, so he set about building a system to search for trash automatically. Using Edge Impulse and a collection of roadside images captured from a variety of sources, he built a model for recognizing trash. To find the garbage, a webcam with a car window mount captures images while driving, and a Raspberry Pi 4 runs the model and looks for garbage. When roadside litter is found, the Pi uses a Blues Wireless Notecard to send the GPS location of the rubbish to a cloud database via its cellular modem.

Cruising around the streets of San Diego, [Nathaniel]’s system builds up a database of garbage hotspots. From there, it’s pretty straightforward to pull the data and overlay it on Google Maps to create a heatmap of where the garbage lies. The video below shows his system in action.

Yes, driving around a personal vehicle specifically to spot litter is just adding more waste to the mix, but you’d imagine putting something like this on municipal vehicles that are already driving around cities anyway. Either way, we picked up some neat tips, especially those wireless IoT cards. We’ve seen them used before, but [Nathaniel]’s project gives us a path forward on some ideas we’ve had kicking around for a while.

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The Sub-$100 Easythreed X1 3D Printer, Is It More Than A Novelty?

There was a time when a cheap 3D printer meant an extremely dubious “Prusa i3” clone as a kit of parts, with the cheapest possible components which, when assembled, would deliver a distinctly underwhelming experience. Most hackerspaces have one of these cheap printers gathering dust somewhere, usually with a rats-nest of wires hanging out of one side of it. But those awful kits have been displaced by sub-$200 printers that are now rather good, so what’s the current lowest end of the market? The answer lies in printers such as the sub-$100 Easythreed X1, which All3DP have given a review. We’ve been curious about this printer for a while, but $100 is a bit much to spend on a toy, so it’s interesting to see their take on it.

It’s a tiny printer marketed as a kid’s toy with an unheated bed and a miniature 100 mm cubic print volume, so we don’t blame them for pitching their expectations low. They found the supplied slicer to be buggy, but the printer itself to be surprisingly better than they expected. It seems that the Easythreed can deliver reasonable but not superlative small prints amid the occasional disaster, but for under $100, we’d guess that any print is a result. Still, we’ll join them in their assessment that it’s worth spending a bit more on a better printer.

We’ve seen another tiny Easythreed model before, when someone made a novelty wrist-mounted wearable version.

Plastic CPUs Will Bend To Your Will

As microcontroller prices drop, they appear in more things. Today you will find microcontrollers in your car, your household appliances, and even kid’s toys. But you don’t see them often embedded in things that are either super cheap or have to flex, such as for example a bandage. Part of the reason is the cost of silicon chips and part of the reason is that silicon chips don’t appreciate bending. What if you could make CPUs for less than a penny out of flexible plastic? What applications would that open up? PragmatIC — a company working to make this possible — thinks it would open up a whole new world of smart items that would be unthinkable today. They worked with a team at the University of Illinois Urbana-Champaign to create prototype plastic CPUs with interesting results.

This is still the stuff of research and dreams, but a team of researchers did work to produce 4-bit and 8-bit processors using IGZO –indium gallium zinc oxide — semiconductor technology. This tech can be put on plastic and will work even if you bend it around a radius as small as a few millimeters.

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Inside 3D Printing Shoes

If you’ve ever thought about 3D printing shoes, you’ll enjoy watching the video below about a Portland-based company that creates shoes on demand using an HP MJF 5200 3D printer. Granted, this isn’t a printer you likely have in your basement. The one-ton printer costs up to a half-million dollars but watching it do its thing is pretty interesting.

The printer doesn’t create the entire shoe, but just a spongy foam-like TPU footbed and heel. They run the printer overnight and get about a dozen pairs out at once. There’s quite a bit of clean-up to get the piece ready. Of course, there’s also the assembly of the rest of the shoe to take into account.

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