Although billed as a balancing robot, [Aaed Musa’s] robot doesn’t balance itself. It balances a ball on a platform. You might recognize this as something called a Stewart platform, and they are great fun at parties if you happen to party with a bunch of automation-loving hackers, that is. Take a look at the video below to see the device in action.
If you want to duplicate the project, there’s a bit of expense, but the idea behind it is explained in the video. Much of the robot is 3D printed with threaded inserts. Even the ball is 3D printed in two parts along with a cubic connector to hold the two hemispheres together. The acrylic platform was cut with a water jet, although you could just as easily have cut it with hand tools.
[Danielle Boyer] is Ojibwe: Sault Ste Marie Tribe and passionate about preserving vanishing indigenous languages. She’s invented a shoulder-worn talking companion, called a SkoBot, to teach STEAM to children through building robots programmed with indigenous language lessons and founded the STEAM Connection to give them away.
Through her Every Kid Gets a Robot program, more than 8,000 ESP32-based kits have been distributed to students. With a total cost of less than $20 USD, the 3D printed bots help democratize access to robotics. As many rural areas lack access to high-speed internet, they are designed to be controlled locally by the student’s phone.
During an interview on WBUR in Boston, [Danielle] recalled that one of her students once said that she was the first Native person they’d seen in robotics, and she inspired them to get into it. “That really made me emotional and inspired to see the power that us being ourselves has and being authentic to ourselves, to our community, I just think that’s such a beautiful thing.”
Learn more about the impactful and fun work [Danielle] is doing at the STEAM Connection that scored her an invite to the White House, see a preview in the GMA video after the break, and watch for her plant-based BioBotz coming later this year.
This isn’t the first time we’ve seen robots invade the classroom: from student-built “Battle Bots” to the modular 3D printed SimpleSumo project, these educational initiatives can help teach the basics of electronics and software development in a more engaging way than simply reading theory from a textbook.
You don’t always need much to build an FPV rig – especially if you’re willing to take advantage of the power of modern smartphones. [joe57005] is showing off his VR FPV build – a fully-printable small Mechanum wheels car chassis, equipped with an ESP32-CAM board serving a 720×720 stream through WiFi. The car uses regular 9g servos to drive each wheel, giving you omnidirectional movement wherever you want to go. An ESP32 CPU and a single low-res camera might not sound like much if you’re aiming for a VR view, and all the ESP32 does is stream the video feed over WebSockets – however, the simplicity is well-compensated for on the frontend. Continue reading “2022 FPV Contest: ESP32-Powered FPV Car Uses Javascript For VR Magic”→
The modern TV news studio is a masterpiece of live video and CGI, as networks vie for the flashiest presentation. BBC News in London is no exception, and embraced the future in 2013 to the extent of replacing its flesh-and-blood camera operators with robotic cameras. On the face of it this made sense; it was cheaper, and newsroom cameras are most likely to record as set range of very similar shots. A decade later they’re to be retired in a victory for humans, as the corporation tires of the stream of viral fails leaving presenters scrambling to catch up.
A media story might seem slim pickings for Hackaday readers, however there’s food for thought in there for the technically minded. It seems the cameras had a set of pre-programmed maneuvers which the production teams could select for their different shots, and it was too easy for the wrong one to be enabled. There’s also a suggestion that the age of the system might have something to do with it, but this is somewhat undermined by their example which we’ve placed below being from when the cameras were only a year old.
Given that a modern TV studio is a tightly controlled space and that detecting the location of the presenter plus whether they are in shot or not should not have been out of reach in 2013, so we’re left curious as to why they haven’t taken this route. Perhaps OpenCV to detect a human, or simply detecting the audio levels on the microphones before committing to a move could do the job. Either way we welcome the camera operators back even if we never see them, though we’ll miss the viral funnies.
Stabilizing an inverted pendulum is a classic problem in control theory, and if you’ve ever taken a control systems class you might remember seeing pages full of differential equations and bode diagrams just to describe its basic operation. Although this might make such a system seem terribly complicated, actually implementing all of that theory doesn’t have to be difficult at all, as [Limenitis Reducta] demonstrates in his latest project. All you need is a 3D printer, some basic electronic skills and knowledge of Python.
The components needed are a body, two wheels, motors to drive those wheels and some electronics. [Limenitis] demonstrates the design process in the video below (in Turkish, with English subtitles available) in which he draws the entire system in Fusion 360 and then proceeds to manufacture it. The body and wheels are 3D-printed, with rubber bands providing some traction to the wheels which would otherwise have difficulty on slippery surfaces.
The PCB has just a few components, with most of the complexity handled by plug-in modules.
Two stepper motors drive the wheels, controlled by a DRV8825 motor driver, while an MPU-9250 accelerometer and gyroscope unit measures the angle and acceleration of the system. The loop is closed by a Raspberry Pi Pico that implements a PID controller: another control theory classic, in which the proportional, integral and derivative parameters are tuned to adapt the control loop to the physical system in question. External inputs can be provided through a Bluetooth connection, which makes it possible to control the robot from a PC or smartphone and guide it around your living room.
All design files and software are available on [Limenitis]’s GitHub page, and make for an excellent starting point if you want to put some of that control theory into practice. Self-balancing robots are a favourite among robotics hackers, so there’s no shortage of examples if you need some more inspiration before making your own: you can build them from off-the-shelf parts, from bits of wood, or even from a solderless breadboard.
The two gearboxes are the same size, and both have a 25:1 reduction ratio. The design uses the relatively cheap maker version of SolidWorks. Watching the software process is interesting, too. But the real meat of the video is the testing of the two designs.
Robot delivery has long been touted as a game-changing technology of the future. However, it still hasn’t cracked the big time. Drones still aren’t airdropping packages into our gutters by accident, nor are our pizzas brought to us via self-driving cars.
