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463 Articles

Robot Air Hockey Player Predicts Your Next Move

December 16, 2024 by 21 Comments

Air hockey is a fun game, but it’s one you can’t play by yourself. That is, unless you have a smart robot hockey player to act as your rival. [Zeroshot] built exactly that.

The build is based around a small 27-inch air hockey table—not exactly arcade-spec, but big enough to demonstrate the concepts at play. The robot player moves its mallet in the X and Y axes using a pair of NEMA17 stepper motors and an H-belt configuration. To analyze the game state, there’s a Raspberry Pi 3B fitted with a camera, and it has a top-down view of the board. The Pi gives the stepper motors commands on how to move the mallet via an Arduino that communicates with the stepper drivers.  The Pi doesn’t just aim for the puck itself, either. With Python and OpenCV, it tries to predict your own moves by tracking your mallet, and the puck, too. It predicts the very-predictable path of the puck, and moves itself to the right position for effective defence.

Believe it or not, we’ve featured quite a few projects in this vein before. They’ve all got their similarities, and their own unique quirks. Video after the break.
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Custom built RGB laser firing beam

Lasers, Galvos, Action: A Quest For Laser Mastery

November 22, 2024 by 1 Comment

If you’re into hacking hardware and bending light to your will, [Shoaib Mustafa]’s latest project is bound to spike your curiosity. Combining lasers to project multi-colored beams onto a screen is ambitious enough, but doing it with a galvanomirror, STM32 microcontroller, and mostly scratch-built components? That’s next-level tinkering. This project isn’t just a feast for the eyes—it’s a adventure of control algorithms, hardware hacks, and the occasional ‘oops, that didn’t work.’ You can follow [Shoaib]’s build log and join the journey here.

The nitty-gritty is where it gets fascinating. Shoaib digs into STM32 Timers, explaining how modes like Timer, Counter, and PWM are leveraged for precise control. From adjusting laser intensity to syncing galvos for projection, every component is tuned for maximum flexibility. Need lasers aligned? Enter spectrometry and optical diffusers for precision wavelength management. Want real-time tweaks? A Python-controlled GUI handles the instruments while keeping the setup minimalist. This isn’t just a DIY build—it’s a work of art in problem-solving, with successes like a working simulation and implemented algorithms along the way.

If laser projection or STM32 wizardry excites you, this build will inspire. We featured a similar project by [Ben] back in September, and if you dig deep into our archives, you can eat your heart out on decades of laser projector projects. Explore Shoaib’s complete log on Hackaday.io. It is—literally—hacking at its most brilliant.

Artificial Intelligence Runs On Arduino

October 24, 2024 by 23 Comments

Fundamentally, an artificial intelligence (AI) is nothing more than a system that takes a series of inputs, makes some prediction, and then outputs that information. Of course, the types of AI in the news right now can handle a huge number of inputs and need server farms’ worth of compute to generate outputs of various forms, but at a basic level, there’s no reason a purpose-built AI can’t run on much less powerful hardware. As a demonstration, and to win a bet with a friend, [mondal3011] got an artificial intelligence up and running on an Arduino.

This AI isn’t going to do anything as complex as generate images or write clunky preambles to every recipe on the Internet, but it is still a functional and useful piece of software. This one specifically handles the brightness of a single lamp, taking user input on acceptable brightness ranges in the room and outputting what it thinks the brightness of the lamp should be to match the user’s preferences. [mondal3011] also builds a set of training data for the AI to learn from, taking the lamp to various places around the house and letting it figure out where to set the brightness on its own. The training data is run through a linear regression model in Python which generates the function that the Arduino needs to automatically operate the lamp.

Although this isn’t the most complex model, it does go a long way to demonstrating the basic principles of using artificial intelligence to build a useful and working model, and then taking that model into the real world. Note also that the model is generated on a more powerful computer before being ported over to the microcontroller platform. But that’s all par for the course in AI and machine learning. If you’re looking to take a step up from here, we’d recommend this robot that uses neural networks to learn how to walk.

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Hackaday Links: October 13, 2024

October 13, 2024 by 10 Comments

So far, food for astronauts hasn’t exactly been haute cuisine. Freeze-dried cereal cubes, squeezable tubes filled with what amounts to baby food, and meals reconstituted with water from a fuel cell don’t seem like meals to write home about. And from the sound of research into turning asteroids into astronaut food, things aren’t going to get better with space food anytime soon. The work comes from Western University in Canada and proposes that carbonaceous asteroids like the recently explored Bennu be converted into edible biomass by bacteria. The exact bugs go unmentioned, but when fed simulated asteroid bits are said to produce a material similar in texture and appearance to a “caramel milkshake.” Having grown hundreds of liters of bacterial cultures in the lab, we agree that liquid cultures spun down in a centrifuge look tasty, but if the smell is any indication, the taste probably won’t live up to expectations. Still, when a 500-meter-wide chunk of asteroid can produce enough nutritionally complete food to sustain between 600 and 17,000 astronauts for a year without having to ship it up the gravity well, concessions will likely be made. We expect that this won’t apply to the nascent space tourism industry, which for the foreseeable future will probably build its customer base on deep-pocketed thrill-seekers, a group that’s not known for its ability to compromise on creature comforts.

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Creating Customized Diffraction Lenses For Lasers

August 23, 2024 by 3 Comments

[The Thought Emporium] has been fascinated by holograms for a long time, and in all sorts of different ways. His ultimate goal right now is to work up to creating holograms using chocolate, but along the way he’s found another interesting way to manipulate light. Using specialized diffraction gratings, a laser, and a few lines of code, he explores a unique way of projecting hologram-like images on his path to the chocolate hologram.

There’s a lot of background that [The Thought Emporium] has to go through before explaining how this project actually works. Briefly, this is a type of “transmission hologram” that doesn’t use a physical object as a model. Instead, it uses diffraction gratings, which are materials which are shaped to light apart in specific ways. After some discussion he demonstrates creating diffraction gratings using film. Certain diffraction patterns, including blocking all of the light source, can actually be used as a lens as the light bends around the blockage into the center of the shadow where there can be focal points. From there, a special diffraction lens can be built.

The diffraction lens can be shaped into any pattern with a small amount of computer code to compute the diffraction pattern for a given image. Then it’s transferred to film and when a laser is pointed at it, the image appears on the projected surface. Diffraction gratings like these have a number of other uses as well; the video also shows a specific pattern being used to focus a telescope for astrophotography, and a few others in the past have used them to create the illusive holographic chocolate that [The Thought Emporium] is working towards.

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Compiling Four Billion If Statements

August 7, 2024 by 44 Comments

With modern tools, you have to try very hard to do something stupid, because the tools (rightly) recognize you’re doing something stupid. [Andreas Karlsson] can speak to that first hand as he tried to get four billion if statements to compile.

You may ask what state space requires four billion comparisons to evaluate? The answer is easy: the range of an unsigned 32-bit integer. The whole endeavor started with a simple idea: what if instead of evaluating whether an integer is even or odd with a modulo or bit mask, you just did an if statement for every case? Small ranges like 0-10 are trivial to write out by hand, but you reach for more automated solutions as you pass 8 bits and move towards 16. [Andreas] wrote some Python that outputs a valid C program with all the comparisons. For 16 bits, the source only clocks in at 130k lines with the executable less than 2 MB.

Of course, scaling to 32 bits is a very different problem. The source file balloons to 330 GB, and most compilers barf at that point. Undeterred, [Andreas] modified the Python to output x86_64 assembly instead of C. Of course, the executable format of Windows (PE) only allows executables up to 4 GB, so a helper program mapped the 40 GB generated executable and jumped into it.

What’s incredible about this whole journey is how performant the program is. Even large numbers complete in a few seconds. Considering that it has to thrash 40 GB of an executable through memory, we can’t help but shake our heads at how even terrible solutions can work. We love seeing someone turn a bad idea into an interesting one, like this desoldering setup.

Better Battery Design Through Science

August 2, 2024 by 6 Comments

Before the age of lithium batteries, any project needing to carry its own power had to rely on batteries that were much less energy-dense and affordable. In many ways, we take modern lithium technology for granted, and can easily put massive batteries in our projects by the standards of just a few decades ago. While the affordability of lithium batteries has certainly decreased the amount of energy we need to put in to our projects to properly size batteries, there’s still a lot of work to be done if you’re working on a bigger project or just want to get the maximize the efficiency and effectiveness of your DIY battery pack.

The main problem with choosing a battery, as [ionworks] explains, is that batteries can’t be built for both high energy and high power, at least not without making major concessions for weight or cost. After diving in to all of the possible ways of customizing a battery, the battery guide jumps in to using PyBaMM to perform computational modeling of potential battery designs to hopefully avoid the cumbersome task of testing all of the possible ways of building a battery. With this tool virtually all of a battery’s characteristics can be simulated and potential problems with your setup can be uncovered before you chose (or start production of) a specific battery system.

While customizing a battery pack to this extent might not be a consideration for most of us unless the project is going to be big enough to run something like an electric car or a whole-house generator, it’s a worthwhile tool to know about as even smaller projects like ebikes can benefit from choosing the right cell for the application. Some of the nuances of battery pack design can be found in this guide to building packs from the standard 18650 cells.

Header: Lead holder, CC BY-SA 3.0 .