Pulling Display Data Off Of A Fitness Tracker

[Aaron Christophel] writes in with yet another clever hack for his D6 Fitness Tracker. Using OpenOCD and Pygame, he shows how you can pull data right off the tracker’s screen and sent it to the computer.

This one appealed to us for its brevity. First [Aaron] launches the OpenOCD server which connects to the D6. Then, a short Python script connects to the server through telnet, reads the screen data, and uses a look-up table to turn the data into a duplicate display on the PC screen. If you’re more of a visual learner, there’s a demonstration video after the break.

The D6 is a popular fitness tracker that’s often re-branded and sold at a very low cost. [Aaron] is a big fan of these Nordic nRF52 powered devices, and we’ve covered some of his hacks before. If you’d like to learn more about these interesting little devices there’s quite a write-up on their inner-workings here.

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MIT Mini Cheetah Made And Improved In China

We nearly passed over this tip from [xoxu] which was just a few links to some AliExpress pages. However, when we dug a bit into the pages we found something pretty surprising. Somewhere out there in the wild we…east of China there’s a company not only reverse engineering the Mini Cheetah, but improving it too.

We cover a lot of Mini Cheetah projects; it’s a small robot that can do a back-flip after all. When compared to the servo quadruped of not so many years ago it’s definitely exciting magic. Many of the projects go into detail about the control boards and motor modifications required to build a Mini Cheetah of your own. So we were especially interested to discover that this AliExpress seller has gone through the trouble of not just reverse engineering the design, but also improving on it. Claiming their motors are thinner and more dust resistant than what they’ve seen from MIT.

To be honest, we’re not sure what we’re looking at. It’s kind of cool that we live in a world where a video of a research project and some papers can turn into a $12k robot you can buy right now. Let us know what you think after the break.

This Micro Deltesian Is Easy For Children To Use

[Ekaggrat Singh Kalsi] submits this interesting printer he built for his daughter to use. He admits that the project started simply out of curiosity about the strange deltesian movement. In this configuration, the X and Z-axis are a delta mechanism while the Y-axis is a regular Cartesian bed on rails. There’s not a load of advantages to this movement, but it is really neat.

Eventually, he had a hammer in search of a nail and decided to make the printer easy enough for his daughter to use. To this end, he added a few kid-friendly modifications. The unheated bed is removable and snaps in and out of place with magnets. Considerable attention was paid to the filament loading and unloading to make it easy for small hands to perform the process. This was accomplished through a lever based latch mechanism.

As you can see in the video after the break, the project was a success, and his daughter is growing up with access to her very own 3D printer. If you’re curious abou the classic delta robot, check out this golf ball sorter.

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Use Jedi Mind Tricks To Control Your Next Drone Swarm

Controlling a single drone takes up a considerable amount of concentration and normally involves wearing silly goggles. It only gets harder if you want to control a swarm. Researchers at Skolkovo Institute of Technology decided Jedi mind tricks were the best way, and set up swarm control using hand gestures. 

We’ve seen something similar at the Intel Booth of the 2016 Makerfaire. In that demo, a single drone was controlled by hand gesture using a hacked Nintendo Power Glove. The Skoltech approach has a lot of innovation building on that concept. For one, haptics in the finger tips of the glove provide feedback from the current behavior of the drones. Through their research they found that most operators quickly learned to interpret the vibrations subconsciously.

It also increased the safety of the swarm, which is a prime factor in making these technologies usable outside of the lab. Most of us have at one point frantically typed commands into a terminal or pulled cords to keep a project from destroying itself or behaving dangerously. Having an intuitive control means that an operator can react quickly to changes in the swarm behavior.

The biggest advantage, which can be seen in the video after the break, is that the hand control eliminates much of the preprogramming of paths that is currently common in swarm robotics. With tech like this we can imagine a person quickly being trained on drone swarms and then using them to do things like construction surveys with ease. As an added bonus the researchers were nice enough to pre-submit their paper to arxiv if any readers would like to get into the specifics.

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Amazing Open Source Quadruped Capable Of Dynamic Motion

The more we read about [Josh Pieper]’s quadruped, the mjbots quad A0, the more blown away we are by his year of progress on the design. Each part of the robot deserves its own article: from the heavily modified brushless motors (with custom planetary gears) to the custom motor driver designed just for this project.

[Josh], realized early on that the off-the-shelf components like an ODrive just weren’t going to cut it for his application. So he designed his own board, took it through four revisions, and even did thermal and cycle testing on it. He ended up with the compact moteus board. It can pump out 400 Watts of peak power while its 3Mbit control protocol leaves plenty of bandwidth for real time dynamic control.

The motors and gearboxes are also impressive. It took thorough experimenting and taking inspiration from other projects  before he arrived at a 8108 quad copter motor modified and upgraded so heavily its own mother wouldn’t recognize it. This is all packed into a leg unit with three degrees of freedom that puts even the fanciest servo based quadruped to shame.

Finally it’s all packed into a neat four-legged robot frame with batteries and a Pi. You can get a video summary of the robot here or after the break, and we recommend reading his blog for some more images and details.

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Hackaday Prize Mentor Session: Beau Ambur

Beau Ambur can often be found hosting hardware events and offering help all around the Bay Area. Now he’s turned it into a career and travels the west coast helping hackers and creators effectively leverage Kickstarter’s platform. Beau’s mentor session covers everything from, “is this project a good fit for venture capital?” to, “is open source a good fit for my project?”.

For this year’s Hackaday Prize we’ve found experts in a wide range of fields so you can take your entries to the next level regardless of the stage the project is in. The sessions are on a first come basis so sign up now for a chance to get some valuable feedback on your entry.

Your Robot Language Coach

The first project is a Personal English Trainer by the lonely programmer. As a student he noticed a need for a more interactive and portable language learning aid. Solutions do exist on the market but they are along the lines of a pocket dictionary, instructional phone app, or a full on translator. These break the flow of thought and conversation. The lonely programmer envisioned something that you can conversationally ask for help as you’re using a new language.

As many have discovered, the best way to see if there’s a need for something is to build a minimum viable product (MVP). The snips.ai platform offered the perfect foundation to quickly test out the idea. It’s working on a few words and he wants to get it ready for more people to play with the idea. The majority of the lonely programmer’s questions centered around making the project interesting for other hackers so that it could one day turn into a product.

Bolt-On Bike Assist

Rob and Shushanik are developing a project called BikeOn. It bolts to any bicycle and converts it to an electric assist bike without tools or replacing any components. BikeOn has already won some accolades such as Editors Choice at the last 2019 Makerfaire Bay Area. Rob had a few questions on how to transition a project from the proof of concept stage to the product stage. The discussion went over using open source as a tool for product promotion as well as getting funding for taking a hardware product to market.

He also wanted to know if there was anything the team could do to have a better shot at winning the prize. There were a few good tips such as directly focusing on the five categories the judges would be looking at: Concept, Design, Production, Benchmark, and Communication. It is also important to cover the development journey. Why did you make the choices you made when designing the project?

No-Spill Trash Can Concept

Rounding out this mentor session, Jeannie and her team of highschool students demonstrate SEAL. In the area around the Granada Hills Charter High School there are winds mighty enough to blow over full trashcans. This trash travels to the ocean and disrupts local ecosystems. The team is working on a device which can detect a tipping trashcan and keep the lid from opening.

Prototyping started with Arduinos, but they’ve already escalated to designing their own PCBs. Their hope is to produce a run of fifty devices and try them out with a local commercial partner. Beau recommended they look into the Micropython ecosystem. Not only would the students get the advantage of using the STM32 chips in their board layouts (reducing the number of support components they would need), micropython would make it easier for students to jump in and help rather than having to learn the nuances of C first.

The Hackaday Prize mentoring sessions continue through the summer so don’t forget to sign up and check out the list of mentors who are here to share their knowledge and experience.

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A Giant Magellan Telescope Needs Giant Mirrors

The Giant Magellan Telescope doesn’t seem so giant in the renderings, until you see how the mirrors are made.

The telescope will require seven total mirrors each 27 feet (8.4 meters) in diameter for a total combined diameter of 24.5 meters. Half of an Olympic size pool’s length. A little over four times the diameter of the James Webb Space Telescope.

According to the website, the mirrors are cast at the University of Arizona mirror lab and take four years each to make. They’re made from blocks of Japanese glass laid out in a giant oven. The whole process of casting the glass takes a year, from laying it out to the months of cooling, it’s a painstaking process.

Once the cooling is done there’s another three years of polishing to get the mirror just right. If you’ve ever had to set up a metal block for precision machining on a mill, you might have an idea of why this takes so long. Especially if you make that block a few tons of glass and the surface has to be ground to micron tolerances. A lot of clever engineering went into this, including, no joke, a custom grinding tool full of silly putty. Though, at its core it’s not much different from smaller lens making processes.

The telescope is expected to be finished in 2024, for more information on the mirror process there’s a nice article here.