A wooden robot with a large fresnel lens in a sunny garden

Gardening Robot Uses Sunlight To Incinerate Weeds

Removing weeds is a chore few gardeners enjoy, as it typically involves long sessions of kneeling in the dirt and digging around for anything you don’t remember planting. Herbicides also work, but spraying poison all over your garden comes with its own problems. Luckily, there’s now a third option: [NathanBuildsDIY] designed and built a robot to help him get rid of unwanted plants without getting his hands dirty.

Constructed mostly from scrap pieces of wood and riding on a pair of old bicycle wheels, the robot has a pretty low-tech look to it. But it is in fact a very advanced piece of engineering that uses multiple sensors and actuators while running on a sophisticated software platform. The heart of the system is a Raspberry Pi, which drives a pair of DC motors to move the whole system along [Nathan]’s garden while scanning the ground below through a camera.

Machine vision software identifying a weed in a picture of garden soilThe Pi runs the camera’s pictures through a TensorFlow Lite model that can identify weeds. [Nathan] built this model himself by taking hundreds of pictures of his garden and manually sorting them into categories like “soil”, “plant” and “weed”. Once a weed has been detected, the robot proceeds to destroy it by concentrating sunlight onto it through a large Fresnel lens. The lens is mounted in a frame that can be moved in three dimensions through a set of servos. A movable lens cover turns the incinerator beam on or off.

Sunlight is focused onto the weed through a simple but clever two-step procedure. First, the rough position of the lens relative to the sun is adjusted with the help of a sun tracker made from four light sensors arranged around a cross-shaped cardboard structure. Then, the shadow cast by the lens cover onto the ground is observed by the Pi’s camera and the lens is focused by adjusting its position in such a way that the image formed by four holes in the lens cover ends up right on top of the target.

Once the focus is correct, the lens cover is removed and the weed is burned to a crisp by the concentrated sunlight. It’s pretty neat to see how well this works, although [Nathan] recommends you keep an eye on the robot while it’s working and don’t let it near any flammable materials. He describes the build process in full detail in his video (embedded below), hopefully enabling other gardeners to make their own, improved weed burner robots. Agricultural engineers have long been working on automatic weed removal, often using similar machine vision systems with various extermination methods like lasers or flamethrowers.

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MeArm 3.0: The Pocket-Sized Robot Arm

We all might dream of having an industrial robot arm at our disposal, complete with working controller that doesn’t need constant maintenance and replacement parts, and which is able to help us with other projects with only a minimum of coding or instruction. That’s a pipe dream for most of us, as without a large space, sufficient funding, or unlimited amounts of troubleshooting time we’ll almost always have to look for something smaller and simpler. Perhaps something even as small as this pocket-sized robotic arm.

This isn’t actually the first time we’ve seen the MeArm; the small robot has been around since 2014 and has undergone a number of revisions and upgrades. Even this revision has been out for a little while now but this latest in the series is now available with a number of improvements over the older models. The assembly time required has been reduced from two hours to about 30 minutes and the hardware has even been fully open-sourced as well which allows virtually anyone with the prerequisite tools to build this tiny robot for whatever they happen to need it for, due to its very permissive licensing.

The linked Instructable goes into every detail needed for building the robot as well as documenting all of the parts needed, although you will need access to some specialty tools to make a lot of them. We also featured a Friday Hack Chat about these robots back in 2018 that has some interesting details about these robots in it, and although this is a relatively small robot in the grand scheme of things it’s always possible to upgrade to something larger in the future.

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The Many Robots That Ventured Into The Chernobyl NPP #4 Reactor

Before the Chernobyl Nuclear Power Plant (ChNPP, spelled ‘Chornobyl’ in Ukrainian) disaster in 1986, there had been little need for radiation-resistant robots to venture into high-risk zones.

The MF-2 Joker, also used for clearing debris at the Chernobyl NPP #4 disaster site.
The MF-2 Joker, also used for clearing debris at the Chernobyl NPP #4 disaster site.

Yet in the aftermath of the massive steam explosion at the #4 reactor that ripped the building apart — and spread radioactive material across the USSR and Europe — such robots were badly needed to explore and provide clean-up services. The robots which were developed and deployed in a rush are the subject of a recent video by [The Chornobyl Family].

While some robots were more successful than others, with the MF-2 remote mine handling robot suffering electronic breakdowns, gradually the robots became more refined. As over the years the tasks shifted from disaster management to clean-up and management of the now entombed #4 reactor, so too did the robots. TR-4 and TR-5 were two of the later robots that were developed to take samples of material within the stricken reactor, with many more generations to follow.

The video also reveals the fate of many of these robots. Some are buried in a radioactive disposal site, others are found on the Pripyat terrain, whether set up as a tourist piece, or buried in shrubbery. What’s beyond doubt is that it are these robots that provided invaluable help and saved countless lives, thanks to the engineers behind them.

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DingoQuadruped Is A Cheap Canine-Like Robot

Robot humanoids are cool, but also a bit hard to make work as they only have two legs to stand on. Four-legged robots can be a bit more approachable. The Dingo Quadruped aims to be just such an open-source platform for teaching and experimentation purposes.

The robot is based on the Stanford Pupper, a robot platform we’ve discussed previously. It bears a design not dissimilar from the popular Spot robot from Boston Dynamics. Where Spot costs tens of thousands of dollars, though, Dingo is far cheaper, intended for cheap production by students and researchers for less than $1,500.

The robot weighs around 3 kg, and is approximately the size of a shoebox. Control over the robot is via a wireless game controller. Each leg uses three high-torque servo motors, which are elegantly placed to reduce the inertia of the leg itself. A Raspberry Pi runs the show, with an Arduino Nano also onboard for interfacing analog sensors or additional hardware. The chassis itself has a highly modular design, with a focus on making it easy to add additional hardware.

If you want to get started experimenting with quadruped robots, the Dingo might just be the perfect platform for you. Video after the break.

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Robotic Fox Is Part Dog, Part Cat — Just Like The Real Thing

Foxes are cat software running on dog hardware, or so they say. And [Will Cogley] seems to have taken that to heart with this 3D-printed robotic fox, which borrows heavily from projects like Boston Dynamics Spot robodog. True, the analogy breaks down a bit when you include MIT’s Cheetah on the inspiration list, but you get the point.

Very much a work in progress — [Will]’s RoboFox lacks both a head and a tail, which he aims to add at some point — there are some interesting design elements on display here. Whereas commercial quadruped robots tend to use expensive harmonic drives for the legs, [Will] chose simpler, cheaper hobby servos for his fox’s running gear. Each leg has three of them — one each for the upper and lower leg, and another that moves the whole leg in and out relative to the body. The dual-servo design for the leg is particularly interesting — one servo drives the upper leg directly, while the other servo drives the lower leg through a gear drive and a captive bearing arrangement connected to a parallelogram linkage. The result is a quite compact assembly that still has twelve degrees of freedom, and isn’t anywhere near as “floppy” as you might expect from something driven by hobby servos.

The video below shows off the design details as well as some of the fox’s construction, including some weirdly anatomically correct poses while it’s on its back. The fox is still getting its legs — you can see a few times when the servos get the jitters, and the umbilical is clearly a hindrance for such a lightweight robot. But [Will] has made a great start here, and we’re keen to see RoboFox progress. Although we’re not sure about giving the future head animatronic eyes.

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Automate Handwritten Postcards With Robots

As someone notorious for not doing things the old-fashioned manual way, we’re not sure by [Shane] of Stuff Made Here was thinking when he promised to send out a few hundred handwritten letters. Predictably he built an automated production line for the task. Video after the break.

With “handwritten” and “automated” not being particularly compatible, [Shane] set out to create a robot to create believable handwritten letters, which is significantly harder than it may seem at first glance. It turns out that turning your handwriting into a font is too consistent to be believable, which led down the rabbit of generated handwriting. [Shane] first spend a ridiculous amount of time trying to implement a machine learning model for the task, only to find there’s already an open source library good enough to fool a forensic handwriting expert.

On the robot side, [Shane] used a pen plotter from Amazon that’s it’s actually cheaper than building one from scratch. With the “handwriting” taken care of, [Shane] set up an automated loading system with the industrial robot arm he also used for his CNC chainsaw. The feeders for the empty and full postcards are 3D printed with a spring-loaded mechanism to keep the top card at the same height all the time.

Although this project contained less custom hardware and software than [Shane’s] other projects, it served as an excellent reminder that it’s unnecessary to reinvent the wheel when building a car. It’s easy to get caught up in the small details of a project that don’t matter much in the final implementation and usage.

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All Your Robots Are Belong To Us: You Just Rent Them

Monthly bills. Everyone has them. Except if you go far enough back, not everyone had them. After all, you might live in a home your family has owned for generations. You might be able to produce all the basic necessities using your homestead: food from a garden, water from a well, textiles, soap, and candles. You might have to buy the occasional animal, but your recurring bills could be modest outside of the ever-present tax burden.

But as people moved to cities, they had to pay rent. Buy gas or coal and, eventually, electricity. Water and trash collection are pretty essential, too. But at some point, everyone realized that being in a position to bill you monthly is a good idea. Now we pay for the internet, movie subscriptions, meal plans, alarm monitoring, shopping clubs, cell phones, spa memberships. Soon we might be paying a monthly fee for our robots, too.

Rent To (Not) Own

In industry, this is a common occurrence. You often don’t buy a robot arm or similar device. That, after all, is a capital expense, and most tax codes require you to count it as an asset that slowly depreciates. Instead, you hire a robot from a service provider. Not only does that make it a pure expense, but the provider worries about software, repairs, and all that.

But at home, it is different. There’s no tax advantage in most places between owning a car and leasing it. Yet vendors want to adopt a rent-a-robot strategy. Case in point: a startup named Matician wants you to sign up for a robotic vacuum. For $125 a month, you get a super smart robot vacuum. You could, of course, buy a Roomba, but — according to Matician — the Matic robot uses computer vision to map your house and automatically finds messes. You can also voice command it to clean up areas. It also avoids wire and furniture. They didn’t mention if it can avoid presents left by your pets or not. It will avoid pets and kids, though.

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