A Nifty 3D Printed RC Car

Once upon a time, a remote controlled (RC) car was something you’d buy at Radio Shack or your local hobby store. These days, you can print your own, complete with suspension, right at home, as this project from [Logan57] demonstrates.

The design uses standard off-the-shelf hobby-grade components, with a brushed motor and controller for propulsion, and small metal gear servo for steering. The latter is a smart choice given there’s no servo saver in the design. Save for the fasteners and bearings, all the other parts are 3D printed. The hard components are produced in PETG or PLA, while flexible TPU is used for both the tires and the spring elements in the suspension system. It’s a double-wishbone design, and should serve as a good education should you later find yourself working on a Mazda Miata.

Building your own RC car isn’t just fun, it opens up a whole realm of possibilities. Sick of boring monster trucks and race cars? Why not build a 10×10 wheeler or some kind of wacky amphibious design? When you do, we’ll be waiting by the tipsline to hear all about it. Video after the break.

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3D-Printed RC Skid Steer Is Cute Construction Machinery Done Right

Skid steers are great fun if you get to drive one on a construction site. [ProfessorBoots] has long been a fan of the diminutive diggers, and decided to make a 3D-printed version for his own pleasure.

The build uses a chassis printed in several colors which adequately recreates the charms of a full-sized skid steer. The brains of the operation is an ESP32, which receives commands over WiFi for remote control. A pair of geared N20 brushed motors are driven from a small H-bridge controller, each one driving one side of the skid steer. A toothed belt was 3D printed to allow each motor to drive two wheels on one side. Meanwhile, a pair of servos are charged with both lifting and tilting the bucket. Yes, you heard correctly – you can actually pick up and carry objects around your desk with this thing.

It’s a neat build and could be your introduction into the world of RC construction machines. Video after the break.

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Workshop Dust Manifold Spreads The Suction Around

Let’s say you’re doing lots of woodwork now, and you’ve expanded your workshop with a few big tools. You’re probably noticing the sawdust piling up awfully quick. It would be ideal to have some kind of collection system, but you don’t want to buy a shop vac for every tool. This simple manifold from [Well Done Tips] is the perfect solution for you.

It’s a basic rig at heart, but nonetheless a useful one. It consists of a plywood frame with a shuttle that slides back and forth. The suction hose of your shop vac attaches to the shuttle. Meanwhile, the frame has a series of pipes leading to the dust extraction ports of your various tools around the shop. When you power up a tool, simply slide the manifold to the right position, and you’re good to go. Magnets will hold it in place so it doesn’t get jostled around while you work.

It’s a much cheaper solution than buying a huge dust extraction system that can draw from all your tools at once. If you’re just one person, that’s overkill anyway. This solution is just about sized perfectly for small home operators. Give it a go if you’re tired of sweeping up the mess and coughing your lungs out on the regular. Video after the break.

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Google Nest Mini Gutted And Rebuilt To Run Custom Agents

The Google Nest Mini is a popular smart speaker, but it’s very much a cloud-based Big Tech solution. For those that want to roll their own voice assistant, or just get avoid the corporate surveillance of it all, [Justin Alvey’s] work may appeal. (Nitter)

[Justin] pulled apart a Nest Mini, ripped out the original PCB,  and kitted it out with his own internals. He uses the ESP32 as the basis of his design, since it provides plenty of processing power and WiFi connectivity. His  replacement PCB also interfaces with the LEDs, mute switch, and capacitive touch features of the Nest Mini, for ease of interaction.

As a demo, he set up the system to work with a custom “Maubot” assistant using the Matrix framework. He hooked it up with Beeper, a messaging client that collates all your other messaging platforms into one easily-accessible place. The assistant employs GPT3.5, prompted with a list of his family, friends, and other details, to enable him to make calls, send messages, and handle natural language queries. The demo itself is very impressive, and we’d love to try setting up a similar assistant ourselves. Seeing two of [Justin’s] builds talking to each other is amusing, too.

If you’re more comfortable working with Google Assistant rather than dropping it entirely, we’ve looked at that kind of thing, too. Video after the break.

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RoboPianist Is A Simulation For Advancing Robotic Control

Researchers at Google have posed themselves an interesting problem to solve: mastering the piano. However, they’re not trying to teach themselves, but a pair of simulated anthropomorphic robotic hands instead. Enter RoboPianist.

The hope is that the RoboPianist platform can help benchmark “high-dimensional control, targeted at testing high spatial and temporal precision, coordination, and planning, all with an underactuated system frequently making-and-breaking contacts.”

If that all sounds like a bit much to follow, the basic gist is that playing the piano takes a ton of coordination and control. Doing it in a musical way requires both high speed and perfect timing, further upping the challenge. The team hopes that by developing control strategies that can master the piano, they will more broadly learn about techniques useful for two-handed, multi-fingered control. To that end, RoboPianist models a pair of robot hands with 22 actuators each, or 44 in total. Much like human hands, the robot hands are underactuated by design, meaning they have less actuators than their total degrees of freedom.

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AI Learns To Walk In 3D Training Grounds

AI agents are learning to do all kinds of interesting jobs, even the creative ones that we quite prefer handling ourselves. Nevertheless, technology marches on. Working in this area is YouTuber [AI Warehouse], who has been teaching an AI to walk in a simulated environment.

Albert needed some specific guidance to learn how to walk upright, something that humans tend to figure out innately.

The AI controls a vaguely humanoid-like creature, albeit with a heavily-simplified body and limbs. It “lives” in a 3D environment created in the Unity engine, which provides the necessary physics engine for the work. Meanwhile, the ML-Agents package is used to provide the brain for Albert, the AI charged with learning to walk.

The video steps through a variety of “deep reinforcement learning” tasks. In these, the AI is rewarded for completing goals which are designed to teach it how to walk. Albert is given control of his limbs, and simply charged with reaching a button some distance away on the floor. After many trials, he learns to do the worm, and achieves his goal.

Getting Albert to walk upright took altogether more training. Lumpy ground and walls in between him and his goal were used to up the challenge, as well as encouragements to alternate his use of each foot and to maintain an upright attitude. Over time, he was able to progress through skipping and to something approximating a proper walk cycle.

One may argue that the teaching method required a lot of specific guidance, but it’s still a neat feat to achieve nonetheless. It’s altogether more complex than learning to play Trackmania, we’d say, and that was impressive enough in itself. Video after the break.

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Sand Drawing Plotter Runs On ESP32

Humans have always drawn lines in the sand, whether it’s to communicate a plan of attack or to indicate metaphorically a very real boundary. It’s also something we do just for the aesthetic pleasure, and this plotter from [aidenvigue] is great at performing in just that role.

The plotter traces patterns in the circular sand tray by dragging a small marble with a magnet. This is achieved with a pair of NEMA 17 stepper motors, set up in a polar coordinate fashion. One stepper motor controls the angle, while another motor controls the marble’s distance from the center point of the circle. It’s a simple way to build a circular plotter, and works far better than a Cartesian setup would for this geometry. The build uses an ESP32 as the brains of the operation. It hosts a web interface that allows various patterns to be selected and run on the device. It also runs a set of addressable SK6812 LEDs that light the sand rather nicely.

We’ve seen some great sand plotters before, and have always been particular fans of the larger variety. Video after the break.

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