MIT Scratch 3.0 Opens New Doors For Users And Builders Alike

We typically feature projects from people sharing what they’ve learned while building something for themselves. But our community has a healthy contingent who deploy their skills for the benefit of future generations, developing a child’s natural curiosity for play into interest in understanding the technical world they will grow up in. This field is where MIT’s release of Scratch 3.0 can open up interesting possibilities.

Scratch is a block-based programming language designed for elementary school children, letting them learn fundamental concepts while experimenting in an environment filled with visual and audible feedback. In an effort to make Scratch more widely available, version 2.0 in 2013 moved to the web. But it was built using interactive web technology of the time: Adobe Flash. As Flash has fallen out of favor and scheduled to be phased out in 2020, Scratch 3.0 used React to make the shift to HTML5.

The most immediate benefit is that Scratch can now be used on tablets, which all have modern browsers but very few of which have Flash. Another common educational hardware platform is the Raspberry Pi, which supported Scratch 2 via a convoluted software stack that was far from ideal. Now any hardware with a modern browser can run Scratch, no Flash binaries or custom wrappers are required. The Raspberry Pi foundation certainly seemed excited about this change.

But a more exciting and longer term benefit is Scratch extensions, a mechanism for Scratch programs to communicate with external hardware and online resources. This has evolved in parallel with Scratch 2.0 under the experimental ScratchX umbrella and version 3.0 brings it into core. The launch featured a few official extensions (for connecting to micro:bit, LEGO Mindstroms EV3, etc.) with the promise that custom third-party extensions will soon be possible. This will significantly streamline building a Scratch interface for kid-friendly programmable hardware. Something we’ve seen done for a drone, for exploring SDR, and even for a dollhouse. We’ll be keeping an eye out for the official release of Scratch 3.0 custom extension API, but anyone not afraid of working with fluid pre-release code are certainly welcome to dive in right now.

Goodbye Chevy Volt, The Perfect Car For A Future That Never Was

A month ago General Motors announced plans to wind down production of several under-performers. At the forefront of news coverage on this are the consequences facing factories making those cars, and the people who work there. The human factor associated with the closing of these plants is real. But there is also another milestone marked by the cancellation of the Volt. Here at Hackaday, we choose to memorialize the soon-to-be-departed Chevrolet Volt. An obituary buried in corporate euphemisms is a whimper of an end for what was once their technological flagship car of the future.

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Karakuri Kaizen: Hacks For The Factory Floor

Anyone who has an interest and/or career in manufacturing would have heard of Kaizen, generally a concept to continuously improve your process everywhere. Under that huge umbrella is Karakuri Kaizen, encouraging workers on the factory floor to adopt a hacker mentality and improve their own work stations. It is right up our alley, manufacturer or not, making this overview by Automotive News an entertaining read.

Karakuri could be translated as “mechanism”, but implies something novel in the vein of English words gadgets, gizmos, or dare we say it: hacks. Karakuri has a history dating back to centuries-old wind-up automatons all the way to modern Rube Goldberg contraptions. When applied to modern manufacturing (as part of factory training) it encourages everyone to devise simple improvements. Each might only shave seconds off assembly time, but savings add up in due time.

Modern global manufacturing is very competitive and survival requires producing more efficiently than your competitors. While spotlights of attention may be focused on technology, automation, and construction of “alien dreadnoughts”, that focus risks neglecting gains found at a smaller and simpler scale. Kaizen means always searching for improvements, and the answer is not always more technology.

Several points in these articles asserted purely mechanical karakuri are far less expensive than automated solutions, by comparing price tags which are obviously for industrial automation equipment. We’d be curious to see if our favorite low cost tools — AVR, PIC, ESP32, and friends — would make future inroads in this area. We’ve certainly seen hacks for production at a much smaller scale.

Embedded below the break is a short video from Toyota showing off a few karakuri on their factory floor.

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Freeforming The Atari Punk Console

This stunning piece of art is [Emily Velasco’s] take on the Atari Punk Console. It’s a freeform circuit that synthesizes sound using 555 timers. The circuit has been around for a long time, but her fabrication is completely new and simply incredible!

This isn’t [Emily’s] first rodeo. She previously built the mini CRT sculpture project seen to the left in the image above. Its centerpiece is a tiny CRT from an old video camera viewfinder, and it is fairly common for the driver circuit to understand composite video. And unlike CRTs, small video cameras with composite video output are easily available today for not much money. Together they bring a piece of 1980s-era video equipment into the modern selfie age. The cubic frame holding everything together is also the ground plane, but its main purpose is to give us an unimpeded view. We can admire the detail on this CRT and its accompanying circuitry representing 1982 state of the art in miniaturized consumer electronics. (And yes, high voltage components are safely insulated. Just don’t poke your finger under anything.)

With the experience gained from building that electrically simple brass frame, [Emily] then stepped up the difficulty for her follow-up project. It started with a sound synthesizer circuit built around a pair of 555 timers, popularized in the 1980s and nicknamed the Atari Punk Console. Since APC is a popular circuit found in several other Hackaday-featured projects, [Emily] decided she needed to add something else to stand out. Thus in addition to building her circuit in three-dimensional brass, two photocells were incorporated to give it rudimentary vision into its environment. Stimulus for this now light-sensitive APC were provided in the form of a RGB LED. One with a self-contained circuit to cycle through various colors and blinking patterns.

These two projects neatly bookend the range of roles brass rods can take in your own creations. From a simple frame that stays out of the way to being the central nervous system. While our Circuit Sculpture Contest judges may put emphasis the latter, both are equally valid ways to present something that is aesthetic in addition to being functional. Brass, copper, and wood are a refreshing change of pace from our standard materials of 3D-printed plastic and FR4 PCB. Go forth and explore what you can do!

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Anderson’s Water Computer Spills The Analog Secrets Of Digital Logic

One of the first things we learn about computers is the concept of binary ones and zeroes. When we dig into implementation of digital logic, we start to learn about voltages, and currents, and other realities of our analog world. It is common for textbooks to use flow of water as an analogy to explain flow of electrons, and [Glen Anderson] turned that conceptual illustration into reality. He brought his water computer to the downtown Los Angeles Mini Maker Faire this past weekend to show people the analog realities behind their digital devices.

[Glen]’s demonstration is a translation of another textbook illustration: binary adder with two four-bit inputs and a five-bit output. Each transistor is built from a plastic jewel box whose lid has been glued to the bottom to form two chambers. A ping-pong ball sits in the upper chamber, a rubber flap resides in the lower chamber covering a hole, with a string connecting them so a floating ball would lift the flap and expose the hole.

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Buy Or Build An Autonomous Race Car To Take The Checkered Flag

Putting autonomous vehicles on public roads takes major resources beyond most of our means. But we can explore all the same general concepts at a smaller scale by modifying remote-control toy cars, limited only by our individual budgets and skill levels. For those of us whose interest and expertise lie in software, Amazon Web Services just launched AWS DeepRacer: a complete package for exploring machine learning on autonomous vehicles.

At a hardware level, the spec sheet makes it sound like they’ve bolted their AWS DeepLens machine vision computer on an 1/18th scale monster truck chassis. But the hardware is only the tip of the iceberg. The software behind DeepRacer is AWS RoboMaker, a set of tools for applying AWS to robot development. Everything from running digital simulations on AWS to training neural networks on AWS. Don’t know enough about machine learning? No problem! Amazon has also just opened up their internal training curriculum to the world. And to encourage participation, Amazon is running a DeepRacer League with races taking place both digitally online and physically at AWS Summit events around the world. They’ve certainly offered us a full plate at their re:Invent conference this week.

But maybe someone prefers not to use Amazon, or prefer to build their own hardware, or run their own competitions. Fortunately, Amazon is not the only game in town, merely the latest entry in an existing field. The DeepRacer’s League’s predecessor was the Robocar Rally, and the DeepRacer itself follows the Donkey Car. A do-it-yourself autonomous racing platform we first saw at Bay Area Maker Faire 2017, Donkey Car has since built up its documentation and software tools including a simulator. The default Donkey Car code is fairly specific to the car, but builders are certainly free to use something more general like the open source Robot Operating System and Gazebo robot simulator. (Which is what AWS RoboMaker builds on.)

So if the goal is to start racing little autonomous cars, we have options to buy pre-built hardware or enjoy the flexibility of building our own. Either way, it’s just another example of why this is a great time to get into neural networks, with or without companies like Amazon devising ways to earn our money. Of course, this isn’t the only Amazon project trying to build a business around an idea explored by an existing open source project. We had just talked about their AWS Ground Station offering which covers similar ground (sky?) as our 2014 Hackaday Prize winner SatNOGS.

Generative Design Algorithms Prepare For Space

NASA is famously risk-averse, taking cautious approaches because billions of taxpayer dollars are at stake and each failure receives far more political attention than their many successes. So while moving the final frontier outward requires adopting new ideas, those ideas must first prove themselves through a lengthy process of risk-reduction. Autodesk’s research into generative design algorithms has just taken a significant step on this long journey with a planetary lander concept.

It was built jointly with a research division of NASA’s Jet Propulsion Laboratory, the birthplace of many successful interplanetary space probes. This project got a foot in the door by promising 30% weight savings over conventional design techniques. Large reduction in launch mass is always a good way to get a space engineer’s attention! Mimicking mother nature’s evolutionary process, these algorithms output very organic looking shapes. This is a relatively new approach to design optimization under exploration by multiple engineering software vendors. Not just Autodesk’s “Generative Design” but also “Topology Optimization” in SolidWorks, plus others. Though these shapes appear ideally suited to 3D printing, Autodesk also had to prove their algorithm could work with more traditional fabrication techniques like 5-axis CNC mills.

This is leading-edge research technology though some less specialized, customer-ready versions are starting to trickle out of research labs. Starting with an exclusive circle: People with right tiers of SolidWorks license, the paid (not free) tier of Autodesk Fusion 360, etc. We’ve looked at another recent project with nontraditional organic shapes, and we’ve looked at generative designs used for their form as well as their function. This category of CAD tools hold a lot of promise, and we’re optimistic they’ll soon become widely accessible so we can all put them to good use in our earthbound projects.

Possibly even before they fly to another planet.

[via Engadget]