Cheat At Cornhole With A Bazillion-Dollar Robot

While the days of outdoor cookouts may be a few months away for most of us, that certainly leaves plenty of time to prepare for that moment. While some may spend that time perfecting recipies or doing various home improvement projects during their remaining isolation time, others are practicing their skills at the various games played at these events. Specifically, this group from [Dave’s Armory] which have trained a robot that helps play the perfect game of cornhole. (Video, embedded below.)

While the robot in question is an industrial-grade KUKA KR-20 robot with a hefty price tag of $32,000 USD, the software and control system that the group built are fairly accessible for most people. The computer vision is handled by an Nvidia Jetson board, a single-board computer with extra parallel computing abilities, which runs OpenCV. With this setup and a custom hand for holding the corn bags, as well as a decent amount of training, the software is easily able to identify the cornhole board and instruct the robot to play a perfect game.

While we don’t all have expensive industrial robots sitting around in our junk drawer, the use of OpenCV and an accessible computer might make this project a useful introduction to anyone interested in computer vision, and the group made the code public on their GitHub page. OpenCV can be used for a lot of other things besides robotics as well, such as identifying weeds in a field or using a Raspberry Pi for facial recognition.

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Ultrasonic Sonar Detects Hidden Objects

While early scientists and inventors famously underestimated the value of radar, through the lens of history we can see how useful it became. Even though radar uses electromagnetic waves to detect objects, the same principle has been used with other propagating waves, most often sound waves. While a well-known use of this is sonar, ultrasonic sensors can also be put to use to make a radar-like system.

This ultrasonic radar project is from [mircemk] who uses a small ultrasonic distance sensor attached to a rotating platform. A motor rotates it around a 180-degree field-of-view and an Arduino takes and records measurements during its trip. It interfaces with an application running on a computer which shows the data in real-time and maps out the location of all of the objects around the sensor. With some upgrades to the code, [mircemk] is also able to extrapolate objects hidden behind other objects as well.

While the ultrasonic sensor used in this project has a range of about a meter, there’s no reason that this principle couldn’t be used for other range-finding devices to extend its working distance. The project is similar to others we’ve seen occasionally before, but the upgrade to the software to allow it to “see” around solid objects is an equally solid upgrade.

Don’t Fret Over The Ukulele

A ukulele is a great instrument to pick to learn to play music. It’s easy to hold, has a smaller number of strings than a guitar, is fretted unlike a violin, isn’t particularly expensive, and everything sounds happier when played on one. It’s not without its limited downsides, though. Like any stringed instrument some amount of muscle memory is needed to play it fluidly which can take time to develop, but for new musicians there’s a handy new 3D printed part that can make even this aspect of learning the ukulele easier too.

Called the Easy Fret, the tool clamps on to the neck of the ukulele and hosts a series of 3D printed “keys” that allow for complex chord shapes to be played with a single finger. In this configuration the chords C, F, G, and A minor can be played (although C probably shouldn’t be considered “complex” on a ukulele). It also makes extensive use of compliant mechanisms. For example, the beams that hit the chords use geometry to imitate a four-bar linkage. This improves the quality of the sound because the strings are pressed head-on rather than at an angle.

While this project is great for a beginner learning to play this instrument and figure out the theory behind it, its creator [Ryan Hammons] also hopes that it can be used by those with motor disabilities to be able to learn to play an instrument as well. And, if you have the 3D printer required to build this but don’t have an actual ukulele, with some strings and tuning pegs you can 3D print a working ukulele as well.

USB Comes To The ESP32

Since the ESP8266 came on the scene a few years ago and revolutionized the way microcontrollers communicate with other devices, incremental progress on this chip has occurred at a relatively even pace. First there was the realization that code could be run on the chip itself. Next the ESP32 was released which built more on that foundation. The next step in that process of improvement may be here now as well, with this project which turns the ESP32 into a USB host.

USB is not a native feature on all microcontrollers or even Arduino-compatible boards. While some do have it built in like those based on the 32u4 for example, most either don’t have it at all or rely on a separate on-board chip to do some form of translating. The ESP32 is lacking this advanced feature so the USB needs to be cobbled together from scratch if you want this specific board to be able to interface directly with peripherals. This project does just that, allowing for four USB 1.1 devices to be connected directly to the ESP32 without a separate dedicated chip.

If you’ve been waiting for USB on this tiny, capable microcontroller this might be your chance to try it out. All of the project’s code is available on the project page. And, while it is limited in scope, it’s easily able to handle a keyboard or mouse. This might be a more cost-effective way of doing something like a KVM switch rather than doing it with three Arduinos.

 

Removing Supervisor Passwords And Learning Python

When learning a new programming language, it’s best to have a goal in mind and work towards it. [Timo] thought it was about time to learn python, and he also had a project in mind: removing the BIOS supervisor password from his old Thinkpad. From there it was just a few keystrokes (and some soldering) and he was able to change the BIOS password of this black box from the outside.

The build utilizes a BeagleBone to communicate with the laptop’s EEPROM via the I2C bus. An oscilloscope also monitors the bus to look for a specific window every four-seconds when the computer is not accessing the bus. During that short period, the EEPROM can be read and written to. Once the window opens, the BeagleBone executes the Python script, which attempts to read the EEPROM and can also perform actions such as removing or changing the BIOS supervisor password.

Of course, tinkering with the EEPROM on a laptop has a high risk of bricking the device, and not all laptops use the same security measures or even memory addresses for things like this, so documentation and precision are key. Also, with Thinkpads of this vintage it’s possible to replace the firmware on these chips entirely with a FOSS version called libreboot, and even though the process is difficult, it’s definitely recommended.

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Lightweight OS For Any Platform

Linux has come a long way from its roots, where users had to compile the kernel and all of the other source code from scratch, often without any internet connection at all to help with documentation. It was the wild west of Linux, and while we can all rely on an easy-to-install Ubuntu distribution if we need it, there are still distributions out there that require some discovery of those old roots. Meet SkiffOS, a lightweight Linux distribution which compiles on almost any hardware but also opens up a whole world of opportunity in containerization.

The operating system is intended to be able to compile itself on any Linux-compatible board (with some input) and yet still be lightweight. It can run on Raspberry Pis, Nvidia Jetsons, and x86 machines to name a few, and focuses on hosting containerized applications independent of the hardware it is installed on. One of the goals of this OS is to separate the hardware support from the applications, while being able to support real-time tasks such as applications in robotics. It also makes upgrading the base OS easy without disrupting the programs running in the containers, and of course has all of the other benefits of containerization as well.

It does seem like containerization is the way of the future, and while it has obviously been put to great use in web hosting and other network applications, it’s interesting to see it expand into a real-time arena. Presumably an approach like this would have many other applications as well since it isn’t hardware-specific, and we’re excited to see the future developments as people adopt this type of operating system for their specific needs.

Thanks to [Christian] for the tip!

The Long Journey Ahead For Linux On Apple Silicon

An old joke from the Linux community about its prevalence in computing quips that Linux will run on anything, including some animals. While the joke is a little dated, it is true that Linux can run on just about any computing platform with a certain amount of elbow grease. The current exception is the new Apple M1 silicon, although one group called Asahi Linux is currently working to get Linux running on this novel hardware as well.

While the Apple M1 is specifically built to run macOS, there’s no technical reason why Linux couldn’t run on it once all of the kinks are ironed out. This progress report from last month outlines some of the current areas of focus, especially around booting non-Mac kernels. The new Apple silicon runs on an ARM processor and because of this it functions more like an embedded device than a PC with standardized BIOS or UEFI. This means a lot of workarounds to the proprietary boot process have to be created to get a Linux kernel to boot. Luckily there are already versions of Linux that run on ARM so a lot of work has already been done, but there’s still much ahead.

While it’s probably best to buy an x86 machine for the time being if you need a Linux on your own personal machine, it seems like only a matter of time until all of the barriers to Linux are overcome on the M1 silicon. If Linux is able to take advantage of some of the efficiency and performance benefits of these chips, it could be a game-changer in the Linux world and at least give us all another option for hardware. Of course, we will still be needing software that can run on ARM, too.

Thanks to [Mark] for the tip!