I’m Sorry, Alexander, I’m Afraid I Can’t Do That

Getting people to space is extremely difficult, and while getting robots to space is still pretty challenging, it’s much easier. For that reason, robots and probes have been helping us explore the solar system for decades. Now, though, a robot assistant is on board the ISS to work with the astronauts, and rather than something impersonal like a robot arm, this one has a face, can navigate throughout the ship, and can respond to voice inputs.

The robot is known as CIMON, the Crew Interactive Mobile Companion. Built by Airbus, this interactive helper will fly with German astronaut Alexander Gerst to test the concept of robotic helpers such as this one. It is able to freely move about the cabin and can learn about the space it is in without being specifically programmed for it. It processes voice inputs similarly to a smart phone, but still processes requests on Earth via the IBM Watson AI. This means that it’s not exactly untethered, and future implementations of this technology might need to be more self-contained for missions outside of low Earth orbit.

While the designers have listened to the warnings of 2001 and not given it complete control of the space station, they also learned that it’s helpful to create an interactive robot that isn’t something as off-putting as a single creepy red-eye. This robot can display an interactive face on the screen, as well as use the same screen to show schematics, procedure steps, or anything else the astronauts need. If creepy design is more your style though, you can still have HAL watching you in your house.

Thanks to [Marian] for the tip!

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Move Over Strandbeest, Here’s Strider!

Father-and-son team [Wade] and [Ben Vagle] have developed and extensively tested two great walker designs: TrotBot and the brand-new Strider. But that’s not enough: their website details all of their hard-earned practical experience in simulating and building these critters, on scales ranging from LEGO-Technic to garage-filling (YouTube, embedded below). Their Walker ABC’s page alone is full of tremendously deep insight into the problem, and is a must-read.

These mechanisms were designed to be simpler than the Jansen linkage and smoother than the Klann. In particular, when they’re not taking a stroll down a beach, walker feet often need to clear obstacles, and the [Vagles’] designs lift the toes higher than other designs while also keeping the center of gravity moving at a constant rate and not requiring the feet to slip or slam into the ground. They do some clever things like adding toes to the bots to even out their gaits, and even provide a simulator in Python and in Scratch that’ll help you improve your own designs.

If you wanted a robot that simply moved, you’d use wheels. We like walkers because they look amazing. When we wrote [Wade] saying that one of Trotbot’s gaits looked animal-like, he pointed out that TrotBot got its working name from a horse-style gait (YouTube). Compared to TrotBot, the Strider family don’t have as much personality, but they run smoother, faster, and stronger. There’s already a 3D-printing-friendly TrotBot model out there. Who’s going to work something up for Strider?

How much do we love mechanical walkers? Enough to post about bicycles made with Jansen linkages, remote-controlled toy Strandbeests both with weaponry and without, power-drill-powered walking scooters, and of course basically anything that Theo Jansen is up to.

If a trip to [Wade] and [Ben]’s website doesn’t get you working on a walker project, physical or virtual, we don’t know what will.

(And from the editorial department of deconfusion: the image in the banner is TrotBot, but it was just too cool to not use.)

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DIY Telepresence Robot Built From Off-The-Shelf Parts

Petite, but it does the job. Note the huge LED headlight in the center.

Telepresence hasn’t taken off in a big way just yet; it may take some time for society to adjust to robotic simulacra standing in for humans in face-to-face communications. Regardless, it’s an area of continuous development, and [MakerMan] has weighed in with a tidy DIY build that does the job.

It’s a build that relies on an assemblage of off-the-shelf parts to quickly put together a telepresence robot. Real-time video and audio communications are easily handled by a Huawei smartphone running Skype, set up to automatically answer video calls at all times. The phone is placed onto the robotic chassis using a car cell phone holder, attached to the body with a suction cup. The drive is a typical two-motor skid steer system with rear caster, controlled by a microcontroller connected to the phone.

Operation is simple. The user runs a custom app on a remote phone, which handles video calling of the robot’s phone, and provides touchscreen controls for movement. While the robot is a swift mover, it’s really only sized for tabletop operation — unless you wish to talk to your contact’s feet. However, we can imagine there has to be some charm in driving a pint-sized ‘bot up and down the conference table when Sales and Marketing need to be whipped back into shape.

It’s a build that shows that not everything has to be a 12-month process of research and development and integration. Sometimes, you can hit all the right notes by cleverly lacing together a few of the right eBay modules. Getting remote video right can be hard, too – as we’ve seen before.

Delta Bot Plucks Out Tunes On A Mandolin

Is there no occupation safe from the scourge of robotic replacement? First it was the automobile assemblers, then fast food workers, and now it’s the — mandolin players?

Probably not, unless [Clayton Darwin]’s mandolin playing pluck-bot has anything to say about it. The pick-wielding delta-ish robot can be seen in action in the video below, plucking out the iconic opening measures of that 70s prom-theme favorite, “Colour My World.” The robot consists of two stepper motors connected to a hinged wooden arm by two pushrods. We had to slow the video down to catch the motion, but it looks like [Clayton] has worked out the kinematics so that the pick can be positioned in front of any of the mandolin’s eight strings. A quick move of the lower stepper then flicks the pick across a string and plucks it. [Clayton] goes into some detail about how he built the motion-control part in an earlier video; he also proves that steppers are better musicians than we’ll ever be with a little “Axel F” break.

It’s only a beginning, of course, but the complexity of the kinematics just goes to show how simple playing an instrument isn’t. Unless, of course, you unleash an endless waterfall of marbles on the problem.

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Smooth Moves From Cheap Motors

Building an electric motor isn’t hard or technically challenging, but these motors have very little in the way of control. A stepper motor is usually employed in applications that need precision, but adding this feature to a motor adds complexity and therefore cost. There is a small $3 stepper motor available, but the downside to this motor is that it’s not exactly the Cadillac of motors, nor was it intended to be. With some coaxing, though, [T-Kuhn] was able to get a lot out of this small, cheap motor.

To test out the motors, [T-Kuhn] built a small robotic arm. He began by programming his own pulse generating algorithm that mimics a sine wave in order to smooth out the movement of the motor. An Arduino isn’t fast enough to do these computations, though, so he upgraded to using the ESP32. He also was able to implement the inverse kinematics on his own. The result of all this work for a specific platform and motor type is a robotic arm that has a very low cost but delivers performance of much more expensive hardware.

The robot arm was built by [T-Kuhn] too, and all of the details on that build, as well as all the schematics and code, are available on the project site if you need a low-cost robot arm or a good stepper motor controller for a low cost. There are many other ways of getting the most out of other types of low-cost motors as well.

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An In-Depth Look At Dexter, The Robotic Arm

Dexter, a really great robot arm project, just won top honors in the 2018 Hackaday Prize, and walked away with $50,000 toward continuing their project. As a hat tip to Hackaday and the community, Haddington Dynamics, the company behind Dexter, agreed to open-source their newest version of Dexter as well. As James Newton said when accepting the trophy during the award ceremony, “because of your faith in us, because of this award, we have been moved to open-source the next generation of Dexter.” Some very clever work went into producing Dexter, and we can’t wait to see what further refinements have been made!

Dexter isn’t the only robotic arm in town, by any means. But in terms of hobbyist-level robotics, it’s by far the most complete robot arm that we’ve seen, and it includes a couple of design features that make both its positional accuracy and overall usability stand out above the rest. This is a robot arm with many of the bells and whistles of a hundred-thousand dollar robot, but on a couple-thousand dollar budget. Continue reading “An In-Depth Look At Dexter, The Robotic Arm”

Robot Never Misses Leg Day

We have heard bipedal walking referred to as a series of controlled falls, or one continuous fall where we repeatedly catch ourselves, and it is a long way to fall at 9.8m/s2. Some of us are more graceful than others, but most grade-schoolers have gained superior proficiency in comparison to our most advanced bipedal robots. Legs involve all kinds of tricky joints which bend and twist and don’t get us started on knees. Folks at the Keio University and the University of Tokyo steered toward a robot which does not ride on wheels, treads, walk or tumble. The Mochibot uses thirty-two telescopic legs to move, and each leg only moves in or out from the center.

Multi-leg locomotion like this has been done in a process called tensegrity, but in that form, the legs extend only far enough to make the robot tumble in the desired direction. Mochibot doesn’t wait for that controlled fall, it keeps as many downward-facing legs on the ground as possible and retracts them in front, as the rear legs push it forward. In this way, the robot is never falling, and the motion is controlled, but the processing power is higher since the legs are being meticulously controlled. Expecting motion control on so many legs also means that turns can be more precise and any direction can become the front. This also keeps the nucleus at the same level from the ground. We can’t help but think it would look pretty cool stuffed into a giant balloon.

Some people already know of tensegrity robots from NASA, but they may not know about the toolkit NASA published for it. Okay, seriously, how did knees pass the test of evolution? I guess they work for this jumping robot.

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