Worm Bot Inches Along As You’d Expect

October 18, 2020 by No comments

Robot locomotion is a broad topic, and there are a multitude of choices for the budding designer. Often, nature is an inspiration, and many ‘bots have been built to explore the motion regimes of various insects and animals. Inspired himself by the common inch worm, [jegatheesan.soundarapandian] decided to build a robot that moved in a similar way.

The build consists of a series of 3D printed linkages, with servos fitted in between. This allows the robot’s body to articulate and flex in much the same way as a real inch worm. By flexing the body up, shifting along, and flexing back down, the robot can slowly make its way along a surface. An Arduino Pro Mini is the brains of the operation, being compact enough to fit on the small robot while still having enough outputs to command the multiple servos required. Control is via a smartphone app, using MIT’s AppInventor platform and the venerable HC-05 Bluetooth module.

It’s a fun build, and we’d love to see it go further with batteries replacing the tether and perhaps some sensors to enable it to further interact with its environment. We’ve seen other creative 3D-printed designs before, too – like this spherical quadruped ‘bot. Video after the break.

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Duality Of Light Explored By Revisiting The Double-Slit Experiment

October 18, 2020 by 41 Comments

We’ve all seen recreations of the famous double-slit experiment, which showed that light can behave both as a wave and as a particle. Or rather, it’s likely that what we’ve seen is the results of the double-slit experiment, that barcode-looking pattern of light and dark stripes, accompanied by some handwaving about classical versus quantum mechanics. But if you’ve got 20 minutes to invest, this video of the whole double-slit experiment cuts through the handwaving and opens your eyes to the quantum world.

For anyone unfamiliar with the double-slit experiment,  [Huygens Optics] actually doesn’t spend that much time explaining the background. Our explainer does a great job on the topic, but suffice it to say that when coherent light passes through two closely spaced, extremely fine openings, a characteristic pattern of alternating light and dark bands can be observed. On the one hand, this demonstrates the wave nature of light, just as waves on the ocean or sound waves interfere constructively and destructively. On the other hand, the varying intensity across the interference pattern suggests a particle nature to light.

To resolve this conundrum, [Huygens] jumps right into the experiment, which he claims can be done with simple, easily sourced equipment. This is belied a little by the fact that he used photolithography to create his slits, but it should still be possible to reproduce with slits made in more traditional ways. The most fascinating bit of this for us was the demonstration of single-photon self-interference using nothing but neutral density filters and a CCD camera. The explanation that follows of how it can be that a single photon can pass through both slits at the same time is one of the most approachable expositions on quantum mechanics we’ve ever heard.

[Huygens Optics] has done some really fascinating stuff lately, from variable profile mirrors to precision spirit levels. This one, though, really helped scratch our quantum itch.

Where We’re Calculating, We Don’t Need No Seven Segments!

October 18, 2020 by 22 Comments

There have been many attempts at electronic numerical display technology over the decades since the first incandescent bulb or neon tube flickered into life at the command of a primordial computer, but the lowest common denominator has remained the humble seven segments. Here it might end, but for [Ken Yap] who has taken inspiration from a 1960s Sharp calculator to re-create a numerical display with only six segments.

This seemingly impossible feat is achieved by having six curved segments arranged as a figure-eight, which can render all the digits after a fashion, but which soon reveals why the extra segment made an appearance. The numbers that are made up of curves look good enough, but the straight lines in the 1, 4, and 7, are compromised by the diagonal, and the zero is curiously small at half the height.  You can read the digits, but it takes getting used to.

What made sense to reduce the complexity of 1960s electronics is only a fascinating curiosity in 2020, but we maybe won’t see these displays appearing too often. You can take a look at it in the video below the break, and if you’re curious about the Sharp calculator which inspired it then you can take a look at its page in the Vintage Calculator Museum.

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Climbing Everest One Hill At A Time – And Keeping Track Of It

October 17, 2020 by 10 Comments

The internet is full of self-proclaimed challenges, ranging from some absolutely pointless fads to well-intended tasks with an actual purpose. In times of TikTok, the latter is of course becoming rarer, as a quick, effortless jump on the bandwagon is just easier for raising your internet points. Cyclists on the other hand love a good challenge where they compete with one another online, testing their skills and gamifying their favorite activity along the way. One option for that is Everesting, where you pick a hill of your choice, and within a single session you ride it up and down as many times as it takes until you accumulated the height of Mount Everest on it. Intrigued by the idea, but not so much its competitive aspect, [rabbitcreek] became curious how long it would take him to reach that goal with his own casual bicycle usage, so he built a bicycle computer to measure and keep track of it.

While the total distance and time factors into the actual challenge, [rabbitcreek]’s primary interest was the accumulated height, so the device’s main component is a BMP388 barometric pressure sensor attached to a battery-powered ESP32. An e-paper display shows the total height and completed percentage, along with some random Everest-related pictures. Everything is neatly packed together in a 3D-printed case that can be mounted on the bicycle’s handlebar, and the STL files are available along with the source code in his write-up.

Of course, if you’re actually interested in the challenge itself, you probably have an assortment of sports tracking equipment anyway, but this is a nice addition to keep track as you go, and has a lower risk of ransomware attacks. And in case [rabbitcreek] sounds like a familiar name to you, he’s indeed become a Hackaday regular with his environmental hacks like the tide clock, a handheld particle sniffer, or logging temperatures in the Alaskan wilderness.

Polymer Networks Make Better 3D Prints

October 17, 2020 by 5 Comments

Biological machines such as human and animal bodies are quite incredible. Your body seamlessly incorporates materials as different as muscle, bone, and tendons into an integrated whole. Now Texas A&M researchers think they can imitate nature using polymer networks that have a tunable stiffness. As a bonus, similar to biological devices, the material spontaneously self-heals.

The trick relies on the Diels-Alder reaction which is a cycloaddition reaction of a conjugated diene to an alkene. Diels-Alder-based polymers or DAPs will bond together even when they have different physical characteristics and they undergo a reversible reaction to heat which offers shape-memory and healing capability.

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Attempting To Generate Photorealistic Video With Neural Networks

October 17, 2020 by 17 Comments

Over the past decade, we’ve seen great strides made in the area of AI and neural networks. When trained appropriately, they can be coaxed into generating impressive output, whether it be in text, images, or simply in classifying objects. There’s also much fun to be had in pushing them outside their prescribed operating region, as [Jon Warlick] attempted recently.

[Jon]’s work began using NVIDIA’s GauGAN tool. It’s capable of generating pseudo-photorealistic images of landscapes from segmentation maps, where different colors of a 2D image represent things such as trees, dirt, or mountains, or water. After spending much time toying with the software, [Jon] decided to see if it could be pressed into service to generate video instead.

The GauGAN tool is only capable of taking in a single segmentation map, and outputting a single image, so [Jon] had to get creative. Experiments were undertaken wherein a video was generated and exported as individual frames, with these frames fed to GauGAN as individual segmentation maps. The output frames from GauGAN were then reassembled into a video again.

The results are somewhat psychedelic, as one would expect. GauGAN’s single image workflow means there is only coincidental relevance between consecutive frames, creating a wild, shifting visage. While it’s not a technique we expect to see used for serious purposes anytime soon, it’s a great experiment at seeing how far the technology can be pushed. It’s not the first time we’ve seen such technology used to create full motion video, either. Video after the break.

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Robot Travels The World

October 17, 2020 by 7 Comments

Around the World in 80 Days may have been an impressive feat of international travel in a world before widespread air transit. In modern times though, it’s not even necessary to leave your home in order to travel around the world. To that end, [Norbert] is attempting to accomplish this journey using a robot that will do the traveling for him as part of this year’s Virtual Maker Faire.

The robot is called the World Tour Robot, and the idea for it is to be small enough to ship to each new location around the world and be simple enough to be repaired easily. It is driven by two servo motors and controlled by a Raspberry Pi which also handles a small camera. Once at its location, it can connect to the internet and then be able to be controlled through a web interface. Locations are selected by application, and the robot is either handed off to the next person in the chain or put back in a box to be shipped.

The robot hasn’t left for its maiden voyage just yet but [Norbert] plans to get it started soon. Hopefully there are enough interesting places for this robot to explore on its trip around the world, although it’s probably best to avoid Philadelphia as it is known to be unfriendly to robots.