Robot Can Read Braille Much Faster Than Humans With New Sensor

Braille is a method of physical writing used to allow humans to read by touch — most commonly used as a substitute for printed text by those who may be visually impaired. Both displaying Braille and reading it is difficult to do with machines, but there has been a development in the latter area. A research team has trained a robot to read Braille at a speed far exceeding humans.

The robot was developed by a team at the University of Cambridge. Rather than trying to read Braille by touch, it instead uses a camera and an image recognition algorithm to do the job. Their solution is a bit ironic in a way, given the purpose Braille was created for. The robot can quickly sweep across a Braille display, working at a rate of up to 315 words per minute at 87% accuracy. That’s roughly twice as fast as a human reading Braille, with a similar level of accuracy. Some nifty de-blurring algorithms were needed to achieve this speed from the camera’s video feed.

We’ve also seen some impressive development on the other side of all those little bumps, with two Braille devices taking home awards during the final Hackaday Prize in 2023.
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New Robots To Explore New Areas Of Japan’s Fukushima Daiichi Nuclear Plant

During a press event on January 23rd, Tokyo Electric Power Company (TEPCO) demonstrated two new robots at the mock-up facility at Japan Atomic Energy Agency’s Naraha Center for Remote Control Technology Development (NARREC). As pictured by AP, one is a snake-like robot that should be able to reach very inaccessible areas, while four flying drones will be the first to enter the containment vessel of the Unit 1 reactor for inspection.

The flying drone to be used at Fukushima Daiichi's Unit 1 building. (Credit: Daisuke Kojima/Kyodo News via AP)
The flying drone to be used at Fukushima Daiichi’s Unit 1 building. (Credit: Daisuke Kojima/Kyodo News via AP)

These flying drones are 20 cm across, weigh 185 grams each, and were adapted from an existing model that’s used for boiler inspections. At the Naraha Town facility, operators were able to practice flying it into a copy of the Unit 1’s containment vessel via the piping. As the most heavily damaged unit at the Fukushima Daiichi plant, engineers are interested to learn the details of the fuel and debris that has fallen to the bottom of the vessel so that the clean-up and decontamination steps can be planned.

Most of the current work inside the Fukushimi Daiichi reactor buildings is performed by robots, with the TEPCO gallery providing an overview of the wide range of the types used so far.

One of the first was the PackBot, from US-based iRobot, with many more following for a variety of tasks, from inspection to debris clearing and even dry ice-based decontamination.

Big 3D Printed Hand Uses Big Servos, Naturally

[Ivan Miranda] isn’t afraid to dream big, and hopes to soon build a 3D printed giant robot he can ride around on. As the first step towards that goal, he’s built a giant printed hand big enough to hold a basketball.

The hand has fingers with several jointed segments, inspired by those wooden hand models sold as home decor at IKEA. The fingers are controlled via a toothed belt system, with two beefy 11 kg servos responsible for flexing each individual finger joint. A third 25 kg servo flexes the finger as a whole. [Ivan] does a good job of hiding the mechanics and wiring inside the structure of the hand itself, making an attractive robot appendage.

As with many such projects, control is where things get actually difficult. It’s one thing to make a robot hand flex its fingers in and out, and another thing to make it move in a useful, coordinated fashion. Regardless, [Ivan] is able to have the hand grip various objects, in part due to the usefulness of the hand’s opposable thumb. Future plans involve adding positional feedback to improve the finesse of the control system.

Building a good robot hand is no mean feat, and it remains one of the challenges behind building capable humanoid robots. Video after the break.

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Next-Gen Autopilot Puts A Robot At The Controls

While the concept of automotive “autopilots” are still in their infancy, pretty much any aircraft larger than an ultralight will have some mechanism to at least hold a fixed course and altitude. Typically the autopilot system is built into the airplane’s controls, but this new system replaces the pilot themselves in a manner reminiscent of the movie Airplane.

The robot pilot, known as PIBOT, uses both AI and robotics technology to fly the airplane without altering the aircraft. Unlike a normal autopilot system, this one can be fed the aircraft’s manuals in natural language, understand them, and use that information to fly the airplane. That includes operating any of the aircraft’s cockpit controls, not just the control column and pedal assembly. Supposedly, the autopilot can handle everything from takeoff to landing, and operate capably during heavy turbulence.

The Korea Advanced Institute of Science and Technology (KAIST) research team that built the machine hopes that it will pave the way for more advanced autopilot systems, and although this one has only been tested in simulators so far it shows enormous promise, and even has certain capabilities that go far beyond human pilots’ abilities including the ability to remember a much wider variety of charts. The team also hopes to eventually migrate the technology to the land, especially military vehicles, although we’ve seen how challenging that can be already.

Ask Hackaday: What’s The Deal With Humanoid Robots?

When the term ‘robot’ gets tossed around, our minds usually race to the image of a humanoid machine. These robots are a fixture in pop culture, and often held up as some sort of ideal form.

Yet, one might ask, why the fixation? While we are naturally obsessed with recreating robots in our own image, are these bipedal machines the perfect solution we imagine them to be?

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Pill Bugs And Chitons Get Jobs As Tiny Grippers

A research paper titled Biological Organisms as End Effectors explores the oddball approach of giving small animals jobs as grippers at the end of a robotic arm. Researchers show that pill bugs and chitons — small creatures with exoskeletons and reflexive movements — have behaviors making them useful as grippers, with no harm done to the creatures in the process. The prototypes are really just proofs of concept, but it’s a novel idea that does work in at least a simple way.

Pill bugs reflexively close, and in the process can grasp and hold lightweight objects. The release is simply a matter of time; researchers say that after about 115 seconds a held object is released naturally when the pill bug’s shell opens. While better control over release would be good, the tests show basic functionality is present.

The chiton — a small mollusk — can grip underwater.

Another test involves the chiton, a small mollusk that attaches to things with suction and can act as an underwater end effector in a similar way. Interestingly, a chiton is able to secure itself to wood and cork; materials that typical suction cups do not work on.

A chiton also demonstrates the ability to manipulate a gripped object’s orientation. Chitons seek dark areas, so by shining light researchers could control in which direction the creature attempts to “walk”, which manipulates the held object. A chiton’s grip is strong, but release was less predictable than with pill bugs. It seems chitons release an object more or less when they feel like it.

This concept may remind readers somewhat grimly of grippers made from dead spiders, but researchers emphasize that we have an imperative to not mistreat these living creatures, but to treat them carefully as we temporarily employ them in much the same manner as dog sleds or horses have been used for transportation, or carrier pigeons for messages. Short videos of both pill bug and chiton grippers are embedded below, just under the page break.

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DingoQuadruped Is A Cheap Canine-Like Robot

Robot humanoids are cool, but also a bit hard to make work as they only have two legs to stand on. Four-legged robots can be a bit more approachable. The Dingo Quadruped aims to be just such an open-source platform for teaching and experimentation purposes.

The robot is based on the Stanford Pupper, a robot platform we’ve discussed previously. It bears a design not dissimilar from the popular Spot robot from Boston Dynamics. Where Spot costs tens of thousands of dollars, though, Dingo is far cheaper, intended for cheap production by students and researchers for less than $1,500.

The robot weighs around 3 kg, and is approximately the size of a shoebox. Control over the robot is via a wireless game controller. Each leg uses three high-torque servo motors, which are elegantly placed to reduce the inertia of the leg itself. A Raspberry Pi runs the show, with an Arduino Nano also onboard for interfacing analog sensors or additional hardware. The chassis itself has a highly modular design, with a focus on making it easy to add additional hardware.

If you want to get started experimenting with quadruped robots, the Dingo might just be the perfect platform for you. Video after the break.

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