[Josh] isn’t one to refuse a challenge, especially when robots are involved. The latest dare from friends and family? Build a beer robot that can bring beverages at everyone’s beck and call.

The build consists of two main parts: the refrigerated cooler and the butler part, which comes courtesy of a Roomba Discovery from a fellow roboticist. [Josh] is basing the design on double-walled and insulated restaurant coolers. He built the refrigerated beverage hold from two stainless steel trash cans, sized an inch or so apart in diameter, and filled the gap with expanding foam insulation. He then cut away several inches from the bottom of the liner can to make room for the cooling unit, reinstalled the drip tray, and made a [airflow-allowing platform] by drilling a bunch of holes in an antimicrobial plastic cutting board.

At first, he tried a Peltier unit from an electric Igloo cooler, but that doesn’t work as well as [Josh] hoped, so he’s redesigning the can to use a mini fridge compressor. This meant making custom evaporator and condenser coils from copper tubing to match the compressor’s load spec. Go through [Josh]’s build logs over on IO and you’ll get a free mini-course on expanding foam and refrigeration.

[Josh] is currently working on some different butler modes for this robot. These run the gamut from simply sitting nearby with cold beverages and opening with the wave of a hand to doing voice-triggered beverage butler-ing at everyone’s beck and call. We applaud his efforts thus far and will be following this one with great thirst interest to see how he handles navigation and voice control.

Ever find yourself with nineteen nameless robot vacuums lying around? No? Well, [Aaron Christophel] likes to live a different life, filled with zebra print robots (translated). After tearing a couple down, only ten vacuums remain — casualties are to be expected. Through their sacrifice, he found a STM32F101VBT6 processor acting as the brains for the survivors. Coincidentally, there’s a project called STM32duino designed to get those processors working with the Arduino IDE we either love or hate. [Aaron Christophel] quickly added a variant board through the project and buckled down.

Of course, he simply had to get BLINK up and running, using the back-light of the LCD screen on top of the robots. From there, the STM32 processors gave him a whole 80 GPIO pins to play with. With a considerable amount of tinkering, he had every sensor, motor, and light under his control. Considering how each of them came with a remote control, several infra-red sensors, and wheels, [Aaron Christophel] now has a small robotic fleet at his beck and call. His workshop must be immaculate by now. Maybe he’ll add a way for the vacuums to communicate with each other next. One robot gets the job done, but a whole team gets the job done in style, especially with a zebra print cleaner at the forefront.

If you want to see more of his work, he has quite a few videos on his website demonstrating the before and after of the project — just make sure to bring a translator. He even has a handy pinout for those looking to replicate his work. If you want to dive right in to STM32 programming, we have a nice article on how to get it up and debugged. Otherwise, enjoy [Aaron Christophel]’s demonstration of the eight infra-red range sensors and the custom firmware running them.

Despite being over 25 years old, the original DOOM is still a favorite among gamers and hackers alike. For years now, running the 1993 demonic shooter has been a critical milestone when hacking or reverse engineering a piece of gear, and at this point we’ve seen it run on everything from voting machines to cameras.

But this time around, DOOM isn’t actually running on the device being hacked. Instead, the Roomba 980 that [Rich Whitehouse] has doing his bidding is being used to generate new DOOM levels based on the maps it makes of rooms while going about its business. To be fair they’re pretty simplistic maps, and most of us don’t live in a home quite palatial enough to even fill out shareware trial of id Software’s classic, but it’s still a neat trick.

For those who might not be up to date with the latest and greatest in the world of robotic helpers, newer model Roomba vacuums are equipped with a camera and the ability to generate 3D maps of its environment using a technique called Vision Simultaneous Localization and Mapping (VSLAM). Ostensibly this capability is used to create accurate maps of hazards in the cleaning area, but of course it did set off some privacy alarm bells when introduced due to the possibility that scans of users homes could end up being used for nefarious purposes. Roomba manufacturer iRobot swears they aren’t doing anything suspect with the data their robots collect while traveling through the user’s home, but that hasn’t stopped [Rich] from using the technology as a portal to Hell.

Using “DOOMBA”, the user is able to download the mapping data off of their Roomba 980 (it might work on other models, but hasn’t been tested yet) over the local network and import it into Noesis, a 3D model viewing program developed by [Rich]. The imported map is essentially just a 2D diagram of the home’s floor plan, which on its own wouldn’t make for a terribly interesting DOOM level, so the software will take the liberty of seeding it with weapons, baddies, and all the other varied delights of the netherworld. The user can fiddle around with these settings to try and fine-tune their homespun hellscape, or just let “DOOMBA” randomize it all so they can get on with the ripping and tearing.

If you’ve got Roomba in hand but aren’t a DOOM fan, have no fear. We’ve seen plenty of hacks and mods for everyone’s favorite house-cleaning hockey puck which happen to be of the non-demonic variety. If you just can’t get enough DOOM, stick around for tomorrow’s 25th anniversary celebration article. You will want to copy the banner art and use it as your new desktop background.

Direct from the “Just Because I Can” department, this blog post by [Eddie Zhang] shows us how easy it is to get the Xiaomi robotic vacuum cleaner working as what might be the world’s most unnecessary Spotify Connect speaker. Will your home be the next to play host to an impromptu performance by DJ Xiaomi? Judging by the audio quality demonstrated in the video after the break, we doubt it. But this trick does give us a fascinating look at the current state of vacuum hacking.

For the first phase of this hack, [Eddie] makes use of Dustcloud, an ongoing project to document and reverse engineer various Xiaomi smart home gadgets. Using the information provided there you can get root-level SSH access to your vacuum cleaner and install your own software. There’s a sentence you never thought you’d read, right?

With the vacuum rooted, [Eddie] then installs a Spotify Connect client intended for the Raspberry Pi. As they’re both ARM devices, the software will run on the Xiaomi bot well enough, but the Linux environment needs a little tweaking. Namely, you need to manually create an Upstart .conf file for the service, as the vacuum doesn’t have systemd installed. There goes another one of those unexpected sentences.

We’re certainly no stranger to robotic vacuum hacking, though historically the iRobot Roomba has been the target platform for such mischief. Other players entering the field can only mean good things for those of us who get a kick out of seeing home appliances pushed outside of their comfort zones.

[Thanks to Ohmohm for the tip.]

If you have a Roomba, you know they are handy. However, they do have a habit of getting into places you’d rather they avoid. You can get virtual walls which are just little IR beacons, but it is certainly possible to roll your own. That’s what [MKme] did and it was surprisingly simple, although it could be the springboard to something more complicated. You can see a video about the build below.

As Arduino projects go, this could hardly be more simple. An IR LED, a resistor and a handfull of code that calls into an IR remote library. If that’s all you wanted, the Arduino is a bit overkill, although it is certainly easy enough and cheap.

We know that’s not much, but we were impressed with some of the other information associated with the project for future directions. For example, there’s this project that adds an ultrasonic sensor to a Roomba using the serial port built under the handle. The interface and protocol for that port is even nicely documented.

That got us thinking. You could probably use some ultrasonic sensors for two-way communication to do custom walls. For example, you could use one to send a set number of pulses per second and have another device on the Roomba to receive them and count. You could program rules like a particular wall is only really a wall between 8 AM and 5 PM, for example.

We’ve seen some people use the Roomba as a general-purpose robot platform. We still wish we could find a sensor in the DigiKey catalog to help avoid this common problem.

Out in the countryside, having a cow or to two wouldn’t be a big deal. You can have a cattle shed full of them, and no one will bat an eyelid. But what if you’re living in the big city and have no need of pet dogs or cats, but a pet cow. It wouldn’t be easy getting it to ride in the elevator, and you’d have a high chance of being very, very unpopular in the neighbourhood. [Dane & Nicole], aka [8 Bits and a Byte] were undaunted though, and built the Moomba – the Cow Roomba to keep them company in their small city apartment.

The main platform is built from a few pieces of lumber and since it needs to look like a Roomba, cut in a circular shape. Locomotion comes from two DC geared motors, and a third swivel free wheel, all attached directly to the wooden frame. The motors get their 12V juice from eight “AA” batteries. The free range bovine also needs some smarts to allow it to roam at will. For this, it uses a Raspberry Pi powered by a power bank. The Pi drives a 2-channel relay board which controls the voltage applied to the two motors. Unfortunately, this prevents the Moomba from backing out if it gets stuck at a dead end. For anyone else trying to build this it should be easy enough to fix with an electronic speed controller or even by adding a second 2-channel relay board which can reverse the voltage applied to the motors. The Moomba needs to “Moo” when it feels like, so the Raspberry Pi streams a prerecorded mp3 audio clip to a pair of USB speakers.

If you see the video after the break, you’ll notice that making the Moomba sentient is a simple matter of doing “ctrl+C” and “ctrl+V” and you’re good to go. The python code is straight forward, doing one of four actions – move forward, turn left, turn right or play audio. The code picks a random number from 0 to 3, and then performs the action associated with that number. Finally, as an added bonus, the Moomba gets a lush carpet of artificial green grass and it’s free to roam the range.

At first sight, many may quip “where’s the hack” ? But simple, easy to execute projects like these are ideal for getting younglings started down the path to hacking, with adult supervision. The final result may appear frivolous, but it’ll excite young minds as they learn from watching.

There are millions of IoT devices out there in the wild and though not conventional computers, they can be hacked by alternative methods. From firmware hacks to social engineering, there are tons of ways to break into these little devices. Now, four researchers at the National University of Singapore and one from the University of Maryland have published a new hack to allow audio capture using lidar reflective measurements.

The hack revolves around the fact that audio waves or mechanical waves in a room cause objects inside a room to vibrate slightly. When a lidar device impacts a beam off an object, the accuracy of the receiving system allows for measurement of the slight vibrations cause by the sound in the room. The experiment used human voice transmitted from a simple speaker as well as a sound bar and the surface for reflections were common household items such as a trash can, cardboard box, takeout container, and polypropylene bags. Robot vacuum cleaners will usually be facing such objects on a day to day basis.

The bigger issue is writing the filtering algorithm that is able to extract the relevant information and separate the noise, and this is where the bulk of the research paper is focused (PDF). Current developments in Deep Learning assist in making the hack easier to implement. Commercial lidar is designed for mapping, and therefore optimized for reflecting off of non-reflective surface. This is the opposite of what you want for laser microphone which usually targets a reflective surface like a window to pick up latent vibrations from sound inside of a room.

Deep Learning algorithms are employed to get around this shortfall, identifying speech as well as audio sequences despite the sensor itself being less than ideal, and the team reports achieving an accuracy of 90%. This lidar based spying is even possible when the robot in question is docked since the system can be configured to turn on specific sensors, but the exploit depends on the ability to alter the firmware, something the team accomplished using the Dustcloud exploit which was presented at DEF CON in 2018.

You don’t need to tear down your robot vacuum cleaner for this experiment since there are a lot of lidar-based rovers out there. We’ve even seen open source lidar sensors that are even better for experimental purposes.

Thanks for the tip [Qes]

It’s March, which means Keysight is back in the business of giving away a ton of test gear. Keysight University Live starts on March 15, with daily events the first week followed by a string of weekly live events through April. We always enjoy these Keysight events; sure, they’re clearly intended to sell more gear, but the demos and tutorials are great, and we always learn a lot. There’s also a feeling of community that feels similar to the Hackaday community; just a bunch of electronics nerds getting together to learn and share. If you’re interested in that community, or even if you’re just looking for a chance to win something from the $300,000 pile of goodies, you’ll need to register.

There’s another event coming up that you’ll want to know about: the 2021 Open Hardware Summit. Because 2021 is the new 2020, the summit is being held virtually again, this year on April 9. Tickets are on sale now, and we’re told there are still plenty of Ada Lovelace Fellowships available to those who consider themselves to be a minority in tech. The Fellowship covers the full cost of a ticket; it usually covers travels costs too, but sadly we’re still not there yet.

Once we do start traveling again, you might need to plan more carefully if cities start following the lead of Petaluma, California and start banning the construction of gas stations. The city, about 40 miles (64 km) north of San Francisco, is believed to be the first city in the United States to ban new gas station construction. The city council’s decision also prevents gas station owners from expanding, reconstructing, or relocating existing gas stations. The idea is to create incentives to move toward non-fossil fuel stations, like electric vehicle charging stations and hydrogen fueling. Time will tell how well that works out.

Go home Roomba — you’re drunk. That could be what Roomba owners are saying after an update semi-bricked certain models of the robotic vacuum cleaners. Owners noted a variety of behaviors, like wandering around in circles, bumping into furniture, and inability to make its way back to base for charging. There’s even a timelapse on reddit of a Roomba flailing about pathetically in a suspiciously large and empty room. The drunken analogy only goes so far, though, since we haven’t seen any reports of a Roomba barfing up the contents of its dust bin. But we’re still holding out hope.

And finally, if you’re not exactly astronaut material but still covet a trip to space, you might luck out courtesy of Japanese billionaire Yusaku Maezawa. He’s offering to pay the way for eight people from around the world on a planned flight to the Moon and back in 2023. Apparently, Maezawa bought up all the seats for the flight back in 2018 with the intention of flying a group of artists to space. His thinking has changed, though, and now he’s opening up the chance to serve as ballast join the crew to pretty much any rando on the planet. Giving away rides on Starship might be a harder sell after this week’s test, but we’re sure he’ll find plenty of takers. And to be honest, we wish the effort well — the age of routine civilian space travel can’t come soon enough for us.

The modern home is filled with plenty of “smart” devices, but unfortunately, they don’t always speak the same language. The coffee maker and the TV might both be able to talk to your phone through their respective apps, but that doesn’t necessarily mean the two appliances can work together to better coordinate your morning routine. Which is a shame, since if more of these devices could communicate with each other, we’d be a lot closer to living that Jetsons life we were promised.

Luckily, as hardware hackers we can help get our devices better acquainted with one another. A recent post by [MyHomeThings] shows how the ESP8266 can bridge the gap between a Roomba and Amazon’s Alexa assistant. This not only allows you to cheaply and easily add voice control to the robotic vacuum, but makes it compatible with the Amazon’s popular home automation framework. This makes it possible to chain devices together into complex conditional routines, such as turning off the lights and activating the vacuum at a certain time each night.

The hack depends on the so-called Roomba Open Interface, a seven pin Mini-DIN connector that can be accessed by partially disassembling the bot. This connector provides power from the Roomba’s onboard batteries as well as a two-way serial communications bus to the controller.

By connecting a MP1584EN DC-DC converter and ESP8266 to this connector, it’s possible to send commands directly to the hardware. Add a little glue code to combine this capability with a library that emulates a Belkin Wemo device, and now Alexa is able to stop and start the robot at will.

We’ve seen this sort of trick used a few times before to add backdoor Alexa support to various gadgets, and it’s always interesting to see what kind of unusual hardware folks are looking to make an integral part of their smart home.

After all the fuss and bother along the way, it seems a bit anticlimactic now that the James Webb Space Telescope has arrived at its forever home orbiting around L2. The observatory finished its trip on schedule, arriving on January 24 in its fully deployed state, after a one-month journey and a couple of hundred single-point failure deployments. The next phase of the mission is commissioning, and is a somewhat more sedate and far less perilous process of tweaking and trimming the optical systems, and getting the telescope and its sensors down to operating temperature. The commissioning phase will take five or six months, so don’t count on any new desktop photos until summer at the earliest. Until then, enjoy the video below which answers some of the questions we had about what Webb can actually see — here’s hoping there’s not much interesting to see approximately in the plane of the ecliptic.

In other solar system news, it turns out that one of the minor moons of Saturn may be more than meets the eye. Data captured by the Cassini mission flyby of Mimas shows the 400-km diameter moon probably has an internal ocean of liquid water. Astronomers have known about Mimas since William Herschel discovered it in 1789, and had assumed it was a giant ball of ice. But if it does turn out to have an internal ocean, it suddenly becomes another place to look for extraterrestrial life. But there’s just something familiar about the way this small moon looks that we just can’t put our finger on. Eh — probably nothing to worry about.

We got tipped off through The Analog to a fascinating video by Joe Grand detailing how he hacked a hardware wallet containing about $2 million of cryptocurrency. It’s a great case study in the art and science of fault injection, which was the approach Joe took to getting at the forgotten password for the Trezor hardware wallet. There are plenty of lessons here, both from the user side (don’t forget your password) and from the hacking side (patience is a virtue). Did he succeed, or did he end up frying the wallet? Watch and learn.

From the “It’s all fun and games until a multi-billionaire is slightly inconvenienced” files, we see that Elon Musk doesn’t like the fact that the comings and goings of his private jet are easily seen. This is thanks to a Twitter bot called @ElonJet, one of 15 similar billionaire-trackers written by 19-year-old Jack Sweeney. The bot scrapes ADSB data and correlates it with anonymized flight-plan data, and with a little logic applied to altitude data, figures out when and when Elon’s plane takes off and lands. Elon apparently Tweeted his objections to the tracker directly to Jack, saying that he didn’t want to become a target for “nutcases.” And then the world’s richest man made his takedown offer — $5,000. Jack is wisely holding out for at least another order of magnitude, or a Model 3 — whichever comes first. Don’t hold your breath, Jack.

Hams have a long history of using whatever is on hand to get on the air, but reusing COVID-19 rapid tests as antenna insulators may be pushing things a bit. Sure, the world is awash in plastic waste, and the used lateral-flow tests are just about the right size and shape for the job, but we’d say something soaked in saliva should probably be safely disposed of rather than reused.

And finally, when you stay in a hotel where a Hackaday editor has previously lodged, you’ve got to expect this kind of thing to happen. Jenny List shared this story from the Travelodge in Cambridge, where she stayed for the London Unconference in 2017, “in the before times” as she put it. According to reports, a robotic vacuum cleaner ran amok and made an escape from the hotel, having somehow failed to notice the flooring transition at the entrance that usually thwarts it. Now, we concede that it’s been more than four years since she stayed there, but it’s at least reasonable to ask if there’s a connection between Jenny’s visit and this obvious exploit of hardware hackery. We’re not throwing stones here, but the dead giveaway is that the hotel’s assistant manager offered “a drink at the bar” for the safe return of the robot. Sounds like Jenny might have been going for the long con here.

If you’ve ever thought that your floor cleaning robot eating the fringe on your rug wasn’t destructive enough, [Kyle Brinkerhoff] is working on a solution — Doomba.

This blazingly fast RC vehicle has a tank of butane/propane gas nestled snugly amid its electronics and drive system to fuel a (not yet implemented) flamethrower. Watching how quickly this little bot can move in the video below certainly made our hearts race with anticipation for the inevitable fireworks glory of completed build. Dual motors and a tank-style drive ensure that this firebug will be able to maneuver around any obstacle.

As of writing, the flamethrower and an updated carriage for the drivetrain are underway. Apparently, spinning very quickly in circles can be just as disorienting for robots as it is for us biological beings. During the test shown below, the robot kicked out one of its drive motors. [Kyle] says the final touch will be putting the whole assembly inside an actual Roomba shell for that authentic look.

With spooky season upon us, it’s always good to have the cleansing power of fire at hand in case you find more than you bargained for with your Ghost-Hunting PKE Meter. While there’s no indication whether Doomba can actually run DOOM, you might be interested in this other Doomba Project that uses Roomba’s maps of your house to generate levels for the iconic shooter.

A lot of people complain that Roombas are unreliable, poor at their job, or just plain annoying. Few people complain they’re not fast enough in a straight line. Regardless, [electrosync] set about building the world’s fastest Roomba for his own personal satisfaction.

For this challenge, [electrosync] set his own rules. The build must look like a Roomba, use two drive wheels, and one motor per wheel. It also has to maintain its vacuum functionality. After stripping down a used Roomba, he set about carving out space in the chassis for upgraded hardware. Brushed DC 775 motors were selected for the drivetrain, and these run through a 3:1 planetary reduction gearbox. 3D-printed mounts were then used to install the new motors in the existing chassis. New 3D-printed wheels completed the drivetrain. The original Ni-MH cells were replaced with a pair of 3-cell lithium polymer batteries for more power.

Measured with a Bluetooth GPS device, the upgraded Roomba achieved an impressive 36 km/h (22 MPH). With new wheel designs clad in urethane rubber and an improved anti-wheelie device, it hit a mighty 49 km/h (30 MPH). Adding 4-cell batteries pushed things further to 57 km/h (35 MPH), but the Roomba became difficult to control.

The gauntlet has been thrown down. Do you think you can build a faster Roomba? Time to get hacking! Video after the break.

The original Roomba robotic vacuum cleaner led to loads of clones and lookalikes over the years, and one of them is the ALEE mopping “robot”. [Raymond] tears it down and reveals what’s inside. Turns out it contains mostly regret! Although it does host some design cleverness in its own way.

Technically the ALEE, which cost [Raymond] a cool $85 USD, is not a robot since it has no sensors. And unless a dragging a wet cloth pad kept moist by a crude drip reservoir counts as “mopping”, it’s not much of a mop, either.

There is one interesting aspect to this thing, and it’s to do with the drive system and direction control. The whole thing is driven by a single motor, and not a very powerful one. The center of the robot has a pair of wheels that are both driven at the same rate and speed, and the wheel assembly can pivot around its axis. That’s about it. There are not even any bump sensors of any kind.

So how does this thing move, let alone change direction to (poorly) emulate an original Roomba-like crisscross pattern? The control board appears to have one job: if the motor stalls, reverse direction. That, combined with the fact that the drive unit can pivot and the enclosure is dragging a wet rag, appears to be all the chaos that’s needed to turn bonking into a wall into an undefined direction change.

It’s not great performance, but it sure is some impressive cost-cutting. You can see it bonk around unimpressively in a short video, embedded below the page break.

Just to be clear, [Raymond] knows perfectly well what he’s in for when he obtains cheap tech items from overseas retailers for teardowns. The ALEE does have some mildly interesting secrets to share, but overall, it really wasn’t worth it. Sometimes cheap tech has hacker potential, but there’s no such potential here. Seriously, don’t buy this thing.

To our way of thinking, the whole purpose behind robotic vacuum cleaners is their autonomy. They’re not particularly good at vacuuming, but they are persistent about it, and eventually get the job done with as little human intervention as possible. So why in the world would you want to convert a robotic vacuum to radio control?

For [Lucas], the answer was simple: it was a $20 yard sale find, so why not? Plus, he’s got some secret evil plan to repurpose the suckbot for autonomous room mapping, which sounds like a cool project that would benefit from a thorough knowledge of this little fellow’s anatomy and physiology. The bot in question is a Hoover Quest. Like [Lucas] we didn’t know that Hoover made robotic vacuums (Narrator: they probably don’t) but despite generally negative online reviews by users, he found it to be a sturdily built and very modular and repairable unit.

After an initial valiant attempt at reverse engineering the bot’s main board — a project we encourage [Lucas] to return to eventually — he settled for just characterizing the bot’s motors and sensors and building his own controller. The Raspberry Pi Zero he chose may seem like overkill, but he already had it set up to talk to a PS4 game controller, so it made sense — right up until he released the Magic Smoke within it. A backup Pi took the sting out of that, and as the brief video below shows, he was finally able to get the bot under his command.

[Lucas] has more plans for his new little buddy, including integrating the original sensors and adding new ones. Given its intended mission, we’d say a lidar sensor would be a good addition, but that’s just a guess. Whatever he’s got in store for this, we’re keen to hear what happens.