A robotic arm is an excellent idea if you’re looking to get started with electromechanical projects. There’s linkages to design, and motors to drive, but there’s also the matter of control. This is referred to as “kinematics”, and can be considered in both the forward and inverse sense. [aerdronix] built a robotic arm build that works in both ways.
The brains of the build is an Arduino Yun, which receives commands over the USB interface. Control is realised through the Blynk app, which allows IoT projects to easily build apps for smartphones that can be published to the usual platforms.
The arm’s position is controlled in two fashions. When configured to use inverse kinematics, the user commands an end effector position, and the arm figures out the necessary position of the linkages to make it happen. However, the arm can also be used in a forward kinematics mode, where the individual joint positions are commanded, which then determine the end effector’s final position.
Overall, it’s a well-documented build that lays out everything from the basic mechanical design to the software and source code required to control the system. It’s an excellent learning resource for the newcomer, and such an arm could readily be used in more complex projects.
We see plenty of robotic arms around these parts, like this fantastic build based on an IKEA lamp. If you’ve got one, be sure to hit up the tip line. Video after the break.
Continue reading “A Robotic Arm For Those Who Like Their Kinematics Both Ways”
It has never been easier to put a microcontroller and other electronics into a simple project, and that has tremendous learning potential. But when it comes to mechanical build elements like enclosures, frames, and connectors, things haven’t quite kept the same pace. It’s easier to source economical servos, motors, and microcontroller boards than it is to arrange for other robot parts that allow for cheap and accessible customization and experimentation.
That’s where [Andy Forest] comes in with the Laser Cut Cardboard Robot Construction Kit, which started at STEAMLabs, a non-profit community makerspace in Toronto. The design makes modular frames, enclosures, and basic hardware out of laser-cut corrugated cardboard. It’s an economical and effective method of creating the mechanical elements needed for creating robots and animatronics while still allowing easy customizing. The sheets have punch-out sections for plastic straws, chopstick axles, SG90 servo motors, and of course, anything that’s missing can be easily added with hot glue or cut out with a knife. In addition to the designs being open sourced, there is also an activity guide for educators that gives visual examples of different ways to use everything.
Cardboard makes a great prototyping material, but what makes the whole project sing is the way the designs allow for easy modification and play while being easy to source and produce.
Exploiting the resources of the rock-strewn expanse of space between Mars and the outer planets has been the stuff of science fiction for ages. There’s gold in them ‘thar space rocks, or diamonds, or platinum, or something that makes them attractive targets for capitalists and scientists alike. But before actually extracting the riches of the asteroid belt, stuck here as we are at the bottom of a very deep gravity well that’s very expensive to climb out of, we have to answer a few questions. Like, how does one rendezvous with an asteroid? What’s involved with maneuvering near a comparatively tiny celestial body? And most importantly, how exactly does one land on an asteroid and do any useful work?
Back in June, a spacecraft launched by the Japanese Aerospace Exploration Agency (JAXA) finally caught up to an asteroid named Ryugu after having chased it for the better part of four years. The Hayabusa2 was equipped to answer all those questions and more, and as it settled in close to the asteroid with a small fleet of robotic rovers on board, it was about to make history. Here’s how they managed to not only land on an asteroid, but how the rovers move around on the surface, and how they’ll return samples of the asteroid to Earth for study.
Continue reading “The Science of Landing on an Asteroid”
[Project Malaikat] is a 3D printed hybrid bipedal walker and quadcopter robot, but there’s much more to it than just sticking some props and a flight controller to a biped and calling it a day. Not only is it a custom design capable of a careful but deliberate two-legged gait, but the props are tucked away and deployed on command via some impressive-looking linkages that allow it to transform from walking mode to flying mode.
Creator [tang woonthai] has the 3D models available for download (.rar file) and the video descriptions on YouTube contain a bill of materials, but beyond that there doesn’t seem to be much other information available about [Malaikat]. The creator does urge care to be taken should anyone use the design, because while the robot may be small, it does essentially have spinning blades for hands.
Embedded below are videos that show off the robot’s moves, as well as a short flight test demonstrating that while control was somewhat lacking during the test, the robot is definitely more than capable of actual flight.
Continue reading “Hybrid Robot Walks, Transforms, And Takes Flight”
Atlas is back, and this time he’s got some sweet parkour moves to show off. Every few months, Boston Dynamics gives us a tantalizing glimpse into their robotics development labs. They must be doing something right, as these videos never fail both to amaze and scare us. This time Atlas, Boston Dynamics humanoid bipedal robot, is doing a bit of light parkour — jumping over a log and from box to box. The Atlas we’re seeing here is the evolution of the same robot we saw at the DARPA Robotics Challenge back in 2013.
The video caption mentions that Atlas is using machine vision to analyze the position of markers on the obstacles. It can then plot the most efficient path over the obstructions. The onboard control system then takes over and uses Atlas’ limbs and torso for balance and momentum as the robot jumps up and over everything in its path.
It’s interesting to see how smoothly Atlas jumps the offset staircase, leaping left to right from step to step. The jumping is extremely smooth and fluid — it seems almost human. You can even see Atlas’ let foot just barely clear the box on the second jump. We have to wonder how many times Atlas fell while the software was being perfected.
One thing is for sure, logs and boxes may slow down zombies, but they won’t help anymore when the robot uprising starts.
Continue reading “Atlas is Back with Some New Moves”
The future is upon us and the robots will soon take over. Automated cars will put Uber drivers and cabbies alike out of work. Low-wage workers, like the people working behind the counter at McDonalds, will be replaced by burger-flipping robots. The entire operation of Spacely Space Sprockets, Inc. is run by a single man, pressing a single button, for four hours a day. This cartoon future is so fully automated that most people are unemployed, and all productive work is done by robots.
The first jobs to be replaced will be the first jobs teenagers get. These are low skill jobs, and when you think about low skill jobs (certainly not low-effort jobs, by the way), you think of flipping burgers. That’s where Creator comes in. They’re a culinary robotics company with a restaurant in San Francisco. They’ve been profiled by NPR, by Business Insider, and by CNBC. TechCrunch got a sneak preview proclaiming this as the future of the six dollar burger. It is a marvel of engineering prowess with a business model that I don’t think checks out. This is not the robot that will take your job, and I’m proud to say I ate a robot hamburger before the restaurant went out of business.
Continue reading “I Ate a Robot Hamburger Before the Restaurant Went Out of Business”
Most humans take a year to learn their first steps, and they are notoriously clumsy. [Hartvik Line] taught a robotic cat to walk [YouTube link] in less time, but this cat had a couple advantages over a pre-toddler. The first advantage was that it had four legs, while the second came from a machine learning technique called genetic algorithms that surpassed human fine-tuning in two hours. That’s a pretty good benchmark.
The robot itself is an impressive piece inspired by robots at EPFL, a research institute in Switzerland. All that Swiss engineering is not easy for one person to program, much less a student, but that is exactly what happened. “Nixie,” as she is called, is a part of a master thesis for [Hartvik] at the University of Stavanger in Norway. Machine learning efficiency outstripped human meddling very quickly, and it can even relearn to walk if the chassis is damaged.
We have been watching genetic algorithm programming for more than half of a decade, and Skynet hasn’t popped forth, however we have a robot kitty taking its first steps.
Continue reading “The Little Cat That Could”