Did You Meet Pepper?

July 7, 2021 by 4 Comments

Earlier this week it was widely reported that Softbank’s friendly-faced almost-humanoid Pepper robot was not long for this world, as the Japanese company’s subsidiary in France that had been responsible for the robotic darling of the last decade was being downsized, and that production had paused. Had it gone the way of Sony’s Aibo robotic puppy or Honda’s crouching-astronaut ASIMO? It seems not, because the company soon rolled back a little and was at pains to communicate that reports of Pepper’s untimely death had been greatly exaggerated. It wasn’t so long ago that Pepper was the face of future home robotics, so has the golden future become a little tarnished? Perhaps it’s time to revisit our plastic friend.

A Product Still Looking For A Function

A Pepper earning an honest crust as a tourist guide at the Heijo Palace museum. Tokumeigakarinoaoshima, CC BY-SA 4.0.
A Pepper earning an honest crust as a tourist guide at the Heijo Palace museum. Tokumeigakarinoaoshima, CC BY-SA 4.0.

Pepper made its debut back in 2014, a diminutive and child-like robot with basic speech recognition and conversation skills, the ability to recognize some facial expressions, and a voice to match those big manga-style eyes. It was a robot built for personal interaction rather than work, as those soft tactile hands are better suited to a handshake than holding a tool. It found its way into Softbank stores as well as a variety of other retail environments, it was also used in experiments to assess whether it could work as a companion robot in medical settings, and it even made an appearance as a cheerleading squad. It didn’t matter that it was found to be riddled with insecurities, it very soon became a favourite with media tech pundits, but it remained at heart a product that was seeking a purpose rather than one ready-made to fit a particular function.

I first encountered a Pepper in 2016, at the UK’s National Museum of Computing. It was simply an exhibit under the watchful eye of a museum volunteer rather than being used to perform a job, and it shared an extremely busy gallery with an exhibit of Acorn classroom computers from the 1980s and early ’90s. It was an odd mix of the unexpected and the frustrating, as it definitely saw me and let me shake its hand but stubbornly refused to engage in conversation. Perhaps it was taking its performance as a human child seriously and being shy, but the overwhelming impression was of something that wasn’t ready for anything more than experimental interaction except via its touch screen. As a striking contrast in 2016 the UK saw the first release of the Amazon Echo, a disembodied voice assistant that might not have had a cute face but which could immediately have meaningful interactions with its owner.

How Can A Humanoid Robot Compete With A Disembodied Voice?

In comparing the Pepper with an Amazon Echo it’s possible that we’ve arrived at the root of the problem. Something that looks cool is all very well, but without immediate functionality, it will never capture the hearts of customers. Alexa brought with it the immense power of Amazon’s cloud computing infrastructure, while Pepper had to make do with whatever it had on board. It didn’t matter to potential customers that a cloud-connected microphone presents a huge privacy issue, for them a much cheaper device the size of a hockey puck would always win the day if it could unfailingly tell them the evening’s TV schedule or remind them about Aunty’s birthday.

Over the next decade we will see the arrival of affordable and compact processing power that can do more of the work for which Amazon currently use the cloud. Maybe Pepper will never fully receive that particular upgrade, but it’s certain that if Softbank don’t do it then somebody else will. Meanwhile there’s a reminder from another French company that being first and being cute in the home assistant market is hardly a guarantee of success, who remembers the Nabaztag?

Header: Tokumeigakarinoaoshima, CC0.

Leggo My Nintoaster!

July 7, 2021 by 9 Comments

If you’re one of today’s lucky 10,000* who have never seen a Nintoaster case mod before, boy are we glad you get to see this one first. [Dizzle813] found a shiny old Sunbeam toaster that looks just like the one we grew up with. Although the original creator made a build video, there is room for improvement in the explanation, and some people prefer reading, anyway. This handy guide references and builds upon [VomitSaw]’s original Nintoaster video.

[Dizzle813] really makes the hard parts look easy, and a build like this seems to be mostly hard parts. Unless you find this exact vintage of Sunbeam, you would have to orchestrate the innards as needed to fit your toaster. The hardest part of all is probably wiring up the 72-pin connector to the NES motherboard, but [Dizzle813] managed to pull it off using 22 AWG solid-core wire and still get everything to flex and fit together. Even still, they broke off a pin trying to ease it into the perfboard, but cutting a hole in the connector and inserting a bodge wire replacement worked just fine.

We absolutely love the way this looks and operates, especially with the lever-activated power button and the six orange LEDs inside that are brightness-controlled through the toastiness knob. Be sure to check out the demo after the break.

Isn’t it great when things are built into other things? Case in point: there’s a laptop hiding inside this printer.

*relevant xkcd

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What’s Chia, And Why Is It Eating All The Hard Drives?

July 7, 2021 by 102 Comments

At this point the average Hackaday reader is likely familiar with so-called “Proof of Work” (PoW) cryptocurrencies, such as Bitcoin, Ethereum, and Dogecoin. In the most basic of terms, these cryptocurrencies allow users to earn money by devoting computational power to the network. Unfortunately, it’s well past the point where your standard desktop CPU is moving enough bits to earn anything worthwhile. Individuals looking to turn a profit have therefore resorted to constructing arrays of high-end graphics cards for the express purpose of “mining” their cryptocurrency of choice.

These miners, combined with ongoing chip shortages, have ravaged the GPU market. Anyone who’s looked at building or upgrading a computer recently will know that new video cards are in short supply, and even old models that would otherwise be considered budget options, are commanding outrageous prices. In an effort to appease their core customers, NVIDIA has even introduced cryptocurrency-specific cards that lack video output. The hope was that professional miners would buy these Cryptocurrency Mining Processors (CMPs) instead of the traditional video cards, freeing up the latter for purchase by gamers. But due to the limited availability and relatively high cost of CMPs, they’ve done little to improve the situation.

Now if you don’t use your computer for gaming, this probably seems like a distant problem. You could even be forgiven for thinking of this as little more than two largely frivolous pursuits at loggerheads with each other. After all, in a community that still holds decades-old Thinkpads as the high water mark in portable computing, a certain ambivalence about cutting edge video cards is perhaps to be expected.

But there’s a new form of cryptocurrency on the rise which threatens more than just the hardcore gamers. With “Proof of Space” (PoS) cryptocurrencies, it’s not about having the fastest CPU or the highest number of GPUs; the commodity being traded is storage space, and the player with the most hard drives wins.

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StarLink Terminal Unit Firmware Dumped

July 7, 2021 by 17 Comments

There’s a lot of expense in what telephone companies call “the last mile” — delivering service from the main trunks to your home or business. StarLink wants to avoid that cost by connecting you via an array of low-orbit satellites and some users are already using the service. In Belgium, [Lennert Wouters] managed to dump the terminal’s firmware and has some interesting observations.

The teardown is actually more than just a firmware dump. His “level 1” teardown involves exposing the board. This can be tricky because there are apparently different versions of the terminal out already, so advice from one source might not match your hardware, and that was the case here.

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SimpleFOC Demystifies Precision BLDC Motor Control

July 7, 2021 by 13 Comments

Brushless DC (BLDC) motors are standard fare in low-precision, speedy RC applications. The control schemes needed to run them slowly or precisely go deep into motor theory and might put these motors out of reach for your next homebrew robot project. [Antun Skuric] and crew aim to change just that. They’ve taken the field-oriented control algorithm and encapsulated it into a compact Arduino library, added a host of examples, and minted a stackable BLDC motor control shield to boot. The sum of their efforts is captured into the SimpleFOC Project in the aim of bringing precision BLDC control to a wide community of new hackers.

Field-Oriented Control is a BLDC motor control scheme that involves using a microprocessor to control the stator winding current in such a way that it always applies torque to the rotor. Doing so requires that your processor measure both motor current (think: shunt resistor) and rotor position (think: encoder). Implementing the algorithm, though, can get a bit tricky since it touches bits of linear algebra, motor physics, and control theory. But that’s the magic behind SimpleFOC. With the library at your fingertips, you don’t have to! And with that, the hardest part of brushless motor control has been made simpler with a solution that’s almost plug-in-and-play.

SimpleFOC has been implemented to extend to a variety of possible implementations. While you can certainly design your own control board, you can also start with the SimpleFOC motor shield for a single motor pulling up to 5 A of current. From there, you’ve got a pretty wide range of micros to choose from as the library has been extended to work on the Arduino, Teensy, STM32, and a few other microcontroller families. For implementation details, theory, and setup, there’s a healthy set of documentation to reference. And if you’re looking to share your project or ask questions, you can pop into the community forum for some high-fives and tips. Best of all, the source code has been offered for your enjoyment under a generous MIT License.

While the project kicked off last year, it’s undergoing continuous improvements including added support for current sensing and torque control in addition to position control. With a healthy community emerging around the project, we’ll keep our eyes peeled for more projects that build off of this fantastic reference design.

If BLDC motor control has your interest piqued, have a look through our archive for other BLDC motor control projects, including motor/controller hybrids, anti-cogging control schemes, and other low-speed position controllers. And if you’re up for a real challenge, why not 3D print the motor too?

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Recognising Bird Sounds With A Microcontroller

July 6, 2021 by 4 Comments

Machine learning is an incredible tool for conservation research, especially for scenarios like long term observation, and sifting through massive amounts of data. While the average Hackaday reader might not be able to take part in data gathering in an isolated wilderness somewhere, we are all surrounded by bird life. Using an Arduino Nano 33 BLE Sense and an online machine learning tool, a team made up of [Errol Joshua], [Ajith KJ], [Mahesh Nayak], and [Supriya Nickam] demonstrate how to set up an automated bird call classifier.

The Arduino Nano 33 BLE Sense  is a fully featured little dev board that features the very capable NRF52840 microcontroller with Bluetooth Low Energy, and a variety of onboard sensors, including a microphone. Training a machine learning model might seem daunting to many people, but online services like Edge Impulse makes the process very beginner-friendly. Once you start training your own models for specific applications, you quickly learn that building and maintaining a high quality dataset is often the most time-consuming part of machine learning. Fortunately for this use case, a massive online library of bird calls from all over the world is available on Xeno-Canto. This can be augmented with background noise from the area where the device will be deployed to reduce false-positives. Edge Impulse will train the model using the provided dataset, and generate a library that can be used on the Arduino with one of the provided sample sketches to log and send the collected data to a server. Then comes the never ending process of iteratively testing and improving the recognition model. Edge Impulse is also compatible with more powerful devices such as the Raspberry Pi and Jetson Nano if you want more intensive machine learning models.

We’ve also seen the exact same setup get used for smart baby monitor. If you want to learn more, be sure to watch at [Shawn Hymel]’s talk from the 2020 Remoticon about machine learning on microcontrollers. Continue reading “Recognising Bird Sounds With A Microcontroller” →

Evan Doorbell’s Telephone World

July 6, 2021 by 19 Comments

Ah, phone phreaking. Some of us are just old enough to remember the ubiquity of land lines, but just young enough to have missed out on the golden years of phreaking. There’s something nostalgic about the analog sounds of the telephone, and doubly so when you understand what each click and chunk sound means. If this wistful feeling sounds familiar, then you too will appreciate [Evan Doorbell] and his recordings of 1970s telephone sounds. He’s been slowly working through his old recordings, and compiling them into a series of narrated tours of the phreak subculture.

[Evan]’s introduction to exploring the phone system started from a misdialed number, and an odd message. He describes that recorded “wrong number” message as being very different from the normal Ma Bell messages — this one was almost sultry. What number did he have to dial to hear that unique recording again? What follows is a youth spent in pursuit of playing with the phone system, though it would be more accurate to say the “phone systems”, as discovering the differences between the various local phone exchanges is a big part of the collection. Check out the first tape in the series after the break.
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