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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Open-Source AR Hack Chat

Join us on Wednesday, May 31 at noon Pacific for the Open-Source AR Hack Chat with Raj Nakaraja!

We may live in a soup of electromagnetic waves that range in wavelength from the diameter of Jupiter down to a fraction of the radius of a hydrogen atom, but our eyeballs have evolved to only let us sense a tiny slice of that spectrum. That’s too bad, really, because there’s a lot going on in the rest of the spectrum that could potentially inform our ROYGBIV-centric view of the world. Think of the possibilities of being able to see UV the way an insect does, or being able to watch the radiation pattern of an antenna and make adjustments on the fly. Sounds like a job for augmented reality.

join-hack-chatIf seeing the world with different eyes sounds as cool to you as it does to us, you won’t want to miss Raj Nakaraja’s stop by the Hack Chat. Raj is head of engineering at Brilliant Labs, an augmented reality company that’s looking to bring AR into the mainstream. They’ve got some cool ideas about AR, and we’re going to take the opportunity to talk to Raj about open-source AR in general, Brilliant’s products specifically, and how AR can be incorporated into not only our projects, but into our lives as well.

Our Hack Chats are live community events in the Hackaday.io Hack Chat group messaging. This week we’ll be sitting down on Wednesday, May 31 at 12:00 PM Pacific time. If time zones have you tied up, we have a handy time zone converter.

Click that speech bubble to the right, and you’ll be taken directly to the Hack Chat group on Hackaday.io. You don’t have to wait until Wednesday; join whenever you want and you can see what the community is talking about.

Macro Pad Cheap Enough To Give Away

Supercon 2022 showed that hackers are starting to come together again in Maker Faires, conventions, and festivals. [Toby Chui] plans to be one of those hackers and wants something to give to fellow attendees. Thus, the $3 Macro Pad was born.

We’ve seen our fair share of macro pads, so a simple four-key pad isn’t exactly novel. However, the focus on size and cost makes it stand out. The pad is the size of a business card, making it easy to give away. For a microcontroller, [Toby] used a CH552G, which is cheap and compatible with the Arduino IDE. Although, with 10 GPIO, a matrix layout could have supported a full-sized number pad, the diodes required would have added to the cost significantly. A cheap PCB and 3d-printed base make up the device’s bulk.

[Toby] provides a handy tool for assigning keys from your browser without coding. However, the source code is on GitHub if you want to develop a more complicated scheme. This isn’t the first time we’ve featured the CH552 chip, and it likely won’t be the last.

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ChatGPT V. The Legal System: Why Trusting ChatGPT Gets You Sanctioned

Recently, an amusing anecdote made the news headlines pertaining to the use of ChatGPT by a lawyer. This all started when a Mr. Mata sued the airline where years prior he claims a metal serving cart struck his knee. When the airline filed a motion to dismiss the case on the basis of the statute of limitations, the plaintiff’s lawyer filed a submission in which he argued that the statute of limitations did not apply here due to circumstances established in prior cases, which he cited in the submission.

Unfortunately for the plaintiff’s lawyer, the defendant’s counsel pointed out that none of these cases could be found, leading to the judge requesting the plaintiff’s counsel to submit copies of these purported cases. Although  the plaintiff’s counsel complied with this request, the response from the judge (full court order PDF) was a curt and rather irate response, pointing out that none of the cited cases were real, and that the purported case texts were bogus.

The defense that the plaintiff’s counsel appears to lean on is that ChatGPT ‘assisted’ in researching these submissions, and had assured the lawyer – Mr. Schwartz – that all of these cases were real. The lawyers trusted ChatGPT enough to allow it to write an affidavit that they submitted to the court. With Mr. Schwartz likely to be sanctioned for this performance, it should also be noted that this is hardly the first time that ChatGPT and kin have been involved in such mishaps.

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A man playing an automated recorder

Musical Robot Lets You Play The Recorder Hands-Free

Although many people might remember the recorder as just a simple instrument from their introductory music classes, it can nevertheless produce rich and varied melodies in the hands of a virtuoso like Frans Brüggen. [Luis Marx] also took music lessons as a child, but never progressed much beyond an elementary level. Instead, he preferred to spend his time honing his engineering skills, which eventually enabled him to get back into music.

Initially, he wanted to build a piano-playing exoskeleton, to marionette his fingers up and down the ivories, but had to bail on that one because of the insane complexity. So instead, he built himself a robot that helps him play the recorder. (Video, in German, embedded below, fast-forwarded to the recorder part.)

A set of solenoids and an Arduino on a 3D-printed frameA recorder has eight finger holes, which can be covered or uncovered in various combinations to produce tones. [Luis] therefore used eight solenoids, mounted on a 3D-printed frame, to actuate the finger holes. The basic idea worked, but getting the solenoids to fully cover the holes each time turned out to be a challenge: even a slight misalignment would cause air to leak past the plug and produce a horrible off-key sound.

After a lot of trial and error, [Luis] found foam earplugs to be a pretty good material for emulating human fingertips. He also discovered that relying on the solenoids’ spring tension to keep the holes closed was not reliable; a better solution was to flip the solenoids around and use the much larger force from their powered stroke to create an air-tight seal.

The solenoids are driven by an Arduino Nano through a set of MOSFET modules, powered by a lithium battery. [Luis] wrote some Arduino sketches with famous melodies like Beethoven’s Für Elise, which sound quite decent on the robo-recorder: perhaps not on Frans Brüggen’s level, but pretty impressive for a self-declared “music noob” like [Luis].

Many robotic musicians play instruments like pianos or xylophones. Instruments from the flute family are harder to automate, but it has been done before. We’ve even seen a MIDI-powered harmonica.

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The CCTV Cameras That Recorded The Chernobyl Disaster And Aftermath

The Soviet KTP-63-based remote controlled camera system, including switch and control panel. (Credit: Chernobyl Family on YouTube)
The Soviet KTP-63-based remote-controlled camera system, including switch and control panel. (Credit: Chernobyl Family on YouTube)

When we picture the Chernobyl Nuclear Power Plant disaster and its aftermath, we tend to recall just the commonly shared video recorded by television crews, but the unsung heroes were definitely the robotic cameras that served to keep an eye on not only the stricken reactor itself but also the sites holding contaminated equipment and debris. These camera systems are the subject of a recent video by the [Chernobyl Family] channel on YouTube, as they tear down, as well as plug in these pinnacles of 1980s vidicon-based Soviet engineering.

When the accident occurred at the #4 reactor at the Chernobyl Nuclear Power Plant (ChNPP) in 1986, engineers not only scrambled to find ways to deal with the immediate aftermath but also to monitor and enter radioactive areas without exposing squishy human tissues. This is where the KTP-63 and KTP-64  cameras come into play. One is reminiscent of your typical security camera, while the other is a special model that uses a mirror instead of directly exposing the lens and tube to radiation. As a result, the latter type was quite hardy. Using a central control panel, multiple cameras could be controlled.

When mounted to remotely controlled robots, these cameras were connected to an umbilical cord that gave operators eyes on the site without risking any lives, making these cameras both literally life-savers and providing a solid template for remote-controlled vehicles in future disaster zones.

Editor’s note: Historically, the site was called Чернобыль, which is romanized to Chernobyl, but as a part of Ukraine, it is now Чорнобиль or Chornobyl. Because the disaster and the power plant occurred in 1986, we’ve used the original name Chernobyl here, as does the YouTube channel.

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The Fascinating Evolution Of Micromouse

You would think there are only so many ways for a robotic mouse to run a maze, but in its almost 50 year history, competitors in Micromouse events have repeatedly proven this assumption false. In the video after the break, [Veritasium] takes us on a fascinating journey through the development of Micromouse competition robots.

The goal of Micromouse is simple: Get to the destination square (center) of a maze in the shortest time. Competitors are not allowed to update the programming of their vehicles once the layout is revealed at the start of an event. Over the years, there have been several innovations that might seem obvious now but were groundbreaking at the time.

The most obvious first challenge is finding the maze’s center. Simple wall following in the first event in 1977 has developed into variations of the “flood fill” algorithm. Initially, all robots stopped before turning a corner until someone realized that you could cut corners at 45° and move diagonally if the robot is narrow enough. The shortest path is not always the fastest since cornering loses a lot of speed, so it’s sometimes possible to improve time by picking a slightly longer router with fewer corners.

More speed is only good if you can keep control, so many robots now incorporate fans to suck them down, increasing traction. This has led to speeds as high as 7 meters/second and cornering forces of up to 6 G. Even specks of dust can cause loss of control, so all competitors use tape to clean their wheels before a run. Many winning runs are now under 10 seconds, which require many design iterations to increase controllable speed and reduce weight.

All these innovations started as experiments, and the beauty of Microhouse lies in its accessibility. It doesn’t require much of a budget to get started, and the technical barrier to entry is lower than ever. We’ve looked at another Micromouse design before. Even if they aren’t micromice, we can’t get enough of tiny robots.

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