Avocado-Shaped Robot Makes Its Way Through The Rainforest

When you think of a robot getting around, you probably think of something on wheels or tracks. Maybe you think about a bipedal walking robot, more common in science fiction than our daily lives. In any case, researchers went way outside the norm when they built an avocado-shaped robot for exploring the rainforest.

The robot is the work of doctoral students at ETH Zurich, working with the Swiss Federal Institute for Forest, Snow, and Landscape research. The design is optimized for navigating the canopy of the rainforest, where a lot of the action is. Traditional methods of locomotion are largely useless up high in the trees, so another method was needed.

The avocado robot is instead tethered to a cable which is affixed to a high branch on a tree, or even potentially a drone flying above. The robot then uses a winch to move up and down as needed.  A pair of ducted fans built into the body provide the thrust necessary to rotate and pivot around branches or other obstacles as it descends. It also packs a camera onboard to help it navigate the environment autonomously.

It’s an oddball design, but it’s easy to see how this design makes sense for navigating the difficult environment of a dense forest canopy. Sometimes, intractable problems require creative solutions. Continue reading “Avocado-Shaped Robot Makes Its Way Through The Rainforest”

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.
Continue reading “Robot Can Read Braille Much Faster Than Humans With New Sensor”

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.

Wearable Robot Makes Mountain Climbing A Breeze For Seniors

You know, it’s just not fair. It seems that even if we stay active, age will eventually get the better of our muscles, robbing them of strength and our bodies of mobility. Canes and walkers do not provide additional strength, just support and reassurance in a treacherous landscape. What people could really benefit from are wearable robots that are able to compensate for a lack of muscle strength.

[Dr. Lee Jongwon] of the Korea Institute of Science and Technology has developed this very thing. MOONWALK-Omni is designed to “actively support leg strength in any direction”, and make one feel like they are walking on the moon. In order to test the wearable robot, [Dr. Jongwon] invited senior citizens to climb Korea’s Mount Yeongbong, which is some 604 meters (1980 feet) above sea level.

The robot weighs just 2 kg (about 4.5 lbs) and can be donned independently by the average adult in under ten seconds. There are four high-powered but ultra lightweight actuators on either side of the pelvis that aid balance and boost leg strength by up to 30%. This is all designed to increase propulsion.

An AI system works to analyze the wearer’s gait in real time in order to provide up-to-the-second effective muscle support in many different environments. One wearer, a formerly active mountain climber, reported feeling 10-20 years younger when reaching the top of Mount Yeongbong.

It’s quite interesting to see mobility robots outside of the simplicity of the rehabilitation setting. We have to wonder about the battery life. Will everyone over 65 be wearing these someday? We can only hope they become so affordable. In the meantime, here’s a wearable robot that travels all over your person for better telemetry.

Vroomba Gets Upgrades And A Spoiler

[Electrosync] is the creator and driver of the world’s fastest robotic vaccum cleaner, the Vroomba. It’s a heavily modified roomba capable of speeds of around 60 kph, well beyond the pedaling speed of most bicyclists. Despite being rejected by Guinness for a world record, we’re fairly confident that no other vacuum cleaners have gotten up to these speeds since the Vroomba first hit the streets. That’s not going to stop [electrosync] from trying to top his own record, though, and he’s brought the Vroomba some much needed upgrades.

The first, and perhaps most important, upgrades are to some of the structural components and wheels. The robot is much heavier than comparable RC vehicles and is under much greater strain than typical parts are meant to endure, so he’s 3D printed some parts of the chassis and some new wheels using a nylon-carbon fiber filament for improved strength. The wheels get a custom polyurethane coating similar to last time.

Continue reading “Vroomba Gets Upgrades And A Spoiler”

Weird Trashcan Is Actually Advanced 1990s Robot

[Clay Builds] found a bit of a gem at a recent auction, picking up a Nomadic Technologies N150 robot for just $100. It actually looks like something out of science fiction, with its cylindrical design, red bumpers, and many sensors. He decided to try and restore the research-grade robot to functionality with the aid of modern hardware.

Right away, it’s clear this was an expensive and serious bit of kit. It’s full of hardcore gears and motors for driving three rubber-tired wheels, each of which has a pivoting mount for steering the thing. Through his research, [Clay] was able to find some ancient websites documenting university work using the robots. His understanding is that the platform was designed for researchers experimenting with simultaneous localization and mapping (SLAM) algorithms, and other robotic navigation tasks.

[Clay] doesn’t just settle for a teardown, though. He’s been able to get the platform running again in one sense, using an Arduino to manually run the robot’s drive controls under the command of a gamepad. Without official software or resources, it’s perhaps unlikely he’ll be able to get the stock hardware to do much without completely rebraining it, so this method makes sense. In future he hopes to get the bumper sensors and sonar modules working too.

It’s a fair effort given [Clay] was working with no documentation and no supporting software. We’ve seen similar efforts for robotic arms before, too. Video after the break.

Continue reading “Weird Trashcan Is Actually Advanced 1990s Robot”

Voice Controlled Rover Follows Verbal Instructions To Get Around

Typically, when we want to tell a robot where to go, we either pre-program a route or drive it around with some kind of gamepad or joystick controller. [Robotcus] decided to build a simple robot platform that drove around in response to voice commands instead.

The robot is based around a Raspberry Pi Zero, charged with instructing the motor controllers to drive the ‘bot around. The Pi Zero is also in charge of interpreting the voice commands via Google’s speech recognition tool. The ‘bot itself is a fairly simple design using brushed gearmotors for propulsion and a 3D-printed chassis to tie everything together.

The car is capable of understanding five commands – drive, turn left, turn right, go backwards, and “attack”. The last command simply activates a flipper from the robot’s former life as a battlebot. Things ran okay at first, but the Pi Zero was slow at processing commands. The wheels also had minimal traction. A full-fat Raspberry Pi solved the latter issue, while a new chassis provided better grip.

It’s a simple project, but one that taught [Robotcus] plenty about programming and building small robots in the process. Like so many learning experiences, it’s easy to see how the robot starts out flailing uselessly and eventually starts to perform as intended. It’s always nice to see that progression. Video after the break.

Continue reading “Voice Controlled Rover Follows Verbal Instructions To Get Around”