A man’s hand is visible holding a large, potato-shaped object in the foreground. A short, white, cylindrical structure is on the top of the potato, with black wires bending back into the potato. A smaller rectangular structure is to one side of it, and a red alligator clip connects to a nail protruding from the potato.

Building A Potato-based GLaDOS As An Introduction To AI

Although not nearly as intimidating as her ceiling-mounted hanging arm body, GLaDOS spent a significant portion of the Portal 2 game in a stripped-down computer powered by a potato battery. [Dave] had already made a version of her original body, but it was built around a robotic arm that was too expensive for the project to be really accessible. For his latest project, therefore, he’s created a AI-powered version of GLaDOS’s potato-based incarnation, which also serves as a fun introduction to building AI systems.

[Dave] wanted the system to work offline, so he needed a computer powerful enough to run all of his software locally. He chose an Nvidia Jetson Orin Nano, which was powerful enough to run a workable software system, albeit slowly and with some memory limitations. A potato cell unfortunately doesn’t generate enough power to run a Jetson, and it would be difficult to find a potato large enough to fit the Jetson inside. Instead, [Dave] 3D-printed and painted a potato-shaped enclosure for the Jetson, a microphone, a speaker, and some supplemental electronics.

A large language model handles interactions with the user, but most models were too large to fit on the Jetson. [Dave] eventually selected Llama 3.2, and used LlamaIndex to preprocess information from the Portal wiki for retrieval-augmented generation. The model’s prompt was a bit difficult, but after contacting a prompt engineer, [Dave] managed to get it to respond to the hapless user in an appropriately acerbic manner. For speech generation, [Dave] used Piper after training it on audio files from the Portal wiki, and for speech recognition used Vosk (a good programming exercise, Vosk being, in his words, “somewhat documented”). He’s made all of the final code available on GitHub under the fitting name of PotatOS.

The end result is a handheld device that sarcastically insults anyone seeking its guidance. At least Dave had the good sense not to give this pernicious potato control over his home.

The Junk Machine Prints Corrupted Advertising On Demand

[ClownVamp]’s art project The Junk Machine is an interactive and eye-catching machine that, on demand, prints out an equally eye-catching and unique yet completely meaningless (one may even say corrupted) AI-generated advertisement for nothing in particular.

The machine is an artistic statement on how powerful software tools that have genuine promise and usefulness to creative types are finding their way into marketer’s hands, and resulting in a deluge of, well, junk. This machine simplifies and magnifies that in a physical way.

We can’t help but think that The Junk Machine is in a way highlighting Sturgeon’s Law (paraphrased as ‘ninety percent of everything is crud’) which happens to be particularly applicable to the current AI landscape. In short, the ease of use of these tools means that crud is also being effortlessly generated at an unprecedented scale, swamping any positive elements.

As for the hardware and software, we’re very interested in what’s inside. Unfortunately there’s no deep technical details, but the broad strokes are that The Junk Machine uses an embedded NVIDIA Jetson loaded up with Stable Diffusion’s SDXL Turbo, an open source AI image generator that can be installed and run locally. When and if a user mashes a large red button, the machine generates a piece of AI junk mail in real time without any need for a network connection of any kind, and prints it from an embedded printer.

Watch it in action in the video embedded below, just under the page break. There are a few more different photos on [ClownVamp]’s X account.

Continue reading The Junk Machine Prints Corrupted Advertising On Demand”

Autonomous Wheelchair Lets Jetson Do The Driving

Compared to their manual counterparts, electric wheelchairs are far less demanding to operate, as the user doesn’t need to have upper body strength normally required to turn the wheels. But even a motorized wheelchair needs some kind of input from the user to control it, which still may pose a considerable challenge depending on the individual’s specific abilities.

Hoping to improve on the situation, [Kabilan KB] has developed a self-driving electric wheelchair that can navigate around obstacles by feeding the output of an Intel RealSense Depth Camera and LiDAR module into a Jetson Nano Developer Kit running OpenCV. To control the actual motors, the Jetson is connected to an Arduino which in turn is wired into a common L298N motor driver board.

As [Kabilan] explains on the NVIDIA Blog, he specifically chose off-the-shelf components and the most affordable electric wheelchair he could find to bring the total cost of the project as low as possible. An undergraduate from the Karunya Institute of Technology and Sciences in Coimbatore, India, he notes that this sort of assistive technology is usually only available to more affluent patients. With his cost-saving measures, he hopes to address that imbalance.

While automatic obstacle avoidance would already be a big help for many users, [Kabilan] imagines improved software taking things a step further. For example, a user could simply press a button to indicate which room of the house they want to move to, and the chair could drive itself there automatically. With increasingly powerful single-board computers and the state of open source self-driving technology steadily improving, it’s not hard to imagine a future where this kind of technology is commonplace.

Hackaday Prize 2023: An Agricultural Robot That Looks Ready For The Field

In the world of agriculture, not all enterprises are large arable cropland affairs upon which tractors do their work traversing strip by strip under the hot sun. Many farms raise far more intensive crops on a much smaller scale, and across varying terrain. When it comes to automation these farms offer their own special challenges, but with the benefit of a smaller machine reducing some of the engineering tasks. There’s an entry in this year’s Hackaday prize which typifies this, [KP]’s Agrofelis robot is a small four-wheeled carrier platform designed to deliver autonomous help on smaller farms. It’s shown servicing a vineyard with probably one of the most bad-ass pictures you could think of as a pesticide duster on its implement platform makes it look for all the world like a futuristic weapon.

A sturdy tubular frame houses the battery bank and brains, while motive power is provided by four bicycle derived motorized wheels with disk brakes. Interestingly this machine steers mechanically rather than the skid-steering found in so many such platforms. On top is a two degrees of freedom rotating mount which serves as the implement system — akin to a 3-point linkage on a tractor. This is the basis of the bad-ass pesticide duster turret mentioned above. Running it all is a Nvidia Jetson Nano, with input from a range of sensors including global positioning and LIDAR.

The attention to detail in this agricultural robot is clearly very high, and we could see machines like it becoming indispensable in the coming decades. Many tasks on a small farm are time-consuming and involve carrying or wheeling a small machine around performing the same task over and over. Something like this could take that load off the farmer. We’ve been there, and sure would appreciate something to do the job.

While we’re on the subject of farm robots, this one’s not the only Prize entry this year.

NVIDIA Jetson Powers Real-Time Iron Man HUD

If you could recreate any of the capabilities of Tony Stark’s Iron Man suit in real life, it would probably be the ability to fly, the super strength, or maybe even the palm-mounted lasers that can cut through whatever obstacle is in your path. But let’s be real, all that stuff is way too hard to try and pull off. Plus you’ll probably just end up accidentally killing yourself in the backyard.

But judging by the videos he’s been posting, [Kris Kersey] is doing one hell of a job creating a functional heads-up display (HUD) similar to the one Tony uses in the films. He’s even building it into a 3D printed Iron Man helmet, with the NVIDIA Jetson board that’s powering the show inside a chest-mounted “Arc Reactor”. He goes into a bit more detail about the project and his goals in an interview recently published on NVIDIA’s own blog. Continue reading “NVIDIA Jetson Powers Real-Time Iron Man HUD”

Electric Skateboard Becomes Mobile Skate Park

While building a skate park might not appear to have much in common with software development, at they very least, they both suffer from a familiar problem: scalability. Bigger skate parks need more ramps and features, and there’s no real way to scale up a construction project like this efficiently like you could with certain kinds of software other than simply building more features. This was something [Kirk] noticed, but was able to scale up a skate park in a way we’ve never thought of before. He built a mobile skateboard ramp that can turn any place into a skate park.

The mobile and approximately sidewalk-width platform is able to move around thanks to an electric skateboard as its foundation. It adds a NVIDIA Jetson Nano for control with a PS4 controller for input, although steering a skateboard with an actuator took a few prototypes to figure out since skateboards are designed to be steered by shifting the rider’s weight. Since they are already designed to carry a human-amount of weight, though, it was at least able to tote the ramp around with relative ease. Another problem was lowering the ramp into position when it got to the desired area, but with an electrically-controlled jack and a few rounds of debugging was eventually able to do this without much issue.

With all of that project development behind him, [Kirk] can finally realize his dream of having ramps scattered all across his neighborhood like in the classic videogame Paperboy, without needing to build them all individually or ask for permission to place them around his neighbor’s homes. For any future iterations of this build, we might consider adding tank tracks to the electric skateboard for better off-road performance, like facilitating a jump across a patch of grass.

NVIDIA Unleashes The First Jetson AGX Orin Module

Back in March, NVIDIA introduced Jetson Orin, the next-generation of their ARM single-board computers intended for edge computing applications. The new platform promised to deliver “server-class AI performance” on a board small enough to install in a robot or IoT device, with even the lowest tier of Orin modules offering roughly double the performance of the previous Jetson Xavier modules. Unfortunately, there was a bit of a catch — at the time, Orin was only available in development kit form.

But today, NVIDIA has announced the immediate availability of the Jetson AGX Orin 32GB production module for $999 USD. This is essentially the mid-range offering of the Orin line, which makes releasing it first a logical enough choice. Users who need the top-end performance of the 64GB variant will have to wait until November, but there’s still no hard release date for the smaller NX Orin SO-DIMM modules.

That’s a bit of a letdown for folks like us, since the two SO-DIMM modules are probably the most appealing for hackers and makers. At $399 and $599, their pricing makes them far more palatable for the individual experimenter, while their smaller size and more familiar interface should make them easier to implement into DIY builds. While the Jetson Nano is still an unbeatable bargain for those looking to dip their toes into the CUDA waters, we could certainly see folks investing in the far more powerful NX Orin boards for more complex projects.

While the AGX Orin modules might be a bit steep for the average tinkerer, their availability is still something to be excited about. Thanks to the common JetPack SDK framework shared by the Jetson family of boards, applications developed for these higher-end modules will largely remain compatible across the whole product line. Sure, the cheaper and older Jetson boards will run them slower, but as far as machine learning and AI applications go, they’ll still run circles around something like the Raspberry Pi.