A New Zealand engineer who goes by Bruce online has built a 3D-printable robotic system. It attaches to an acoustic guitar and plays it from a digital tab file. The output is real acoustic sound, not a digital or synthesized approximation. The device, called MegCell Pulse, is now funding on Kickstarter. Backers receive STL files for printing most of the components themselves, along with a parts list and assembly instructions.
The premise behind the Pulse is simple as a question and difficult as an engineering problem. What if a digital music file could control a physical instrument, producing sound with all the natural qualities of that instrument in its room? Most approaches to digital music run in the opposite direction, converting acoustic guitar recordings into digital files. The Pulse reverses that pipeline, taking a digital guitar tablature file and converting its instructions into physical finger and pick movements on a real guitar.
From tab file to acoustic sound
The Pulse attaches to the guitar body and uses two mechanical arms to replicate the movements of a human player. The fretting arm presses strings down between frets, taking the role of the guitarist’s left hand. The picking arm plucks those strings in time, taking the place of the right hand. The two arms are coordinated by gears and magnetic actuators. They draw their timing and positioning directly from a standard digital tab file. No custom programming is required for each piece of music — the system reads the tab notation as written.
What comes out of the guitar is the instrument’s own acoustic sound, shaped by its body, its strings, and the room it is in. That is meaningfully different from a synthesizer or playback system, which would produce a digitally modeled approximation. The Pulse makes the strings vibrate. The guitar amplifies those vibrations in the way it was built to.
What makes this one different
Robots playing instruments are not new, but most existing systems require significant engineering work to teach the machine a new song. The Pulse skips that by reading standard tablature. Any piece of music already encoded in tab format is immediately available without additional programming.
Bruce has also demonstrated the system as an assistive tool. It can take over fretting duties, allowing a one-handed player to produce a full performance. The human handles one mechanical role while the robot handles the other, creating a collaborative performance rather than a fully automated one.
The 3D-printable design has a practical advantage beyond accessibility: the system can be repaired and upgraded by reprinting individual components, rather than replacing a proprietary unit.
What it cannot do yet
The system does not cover the full length of most guitar fretboards, which constrains the range of music it can play. It cannot slide between frets, which rules out legato techniques and string bends. Chord strumming is also a more difficult motion to replicate than single-note picking, and the system’s handling of this technique is still developing.
Bruce acknowledges the Pulse is a work in progress. The key question now is whether the system can incorporate the small timing variations and embellishments that make a guitar performance sound human. That is the engineering problem that will determine how far the project can go.
US-based Agility Robotics is preparing to launch its Digit V5 humanoid robot, with the company positioning it as a step toward safer human-robot collaboration in warehouses and factories.
The robot is designed to operate alongside workers without traditional safety fencing, addressing a key challenge in deploying humanoids in real-world workplaces.
Digit V5 is expected to support 20-hour operational days and use interchangeable end-effectors for different material-handling tasks, with autonomous tool changes planned for the future.
Recently, Agility Robotics revealed its plans to go public through a $2.5 billion SPAC deal, raising over $620 million to fund product development, research, and expansion.
Robots go cageless
Agility Robotics is preparing to deploy its next-generation Digit V5 humanoid robot to early customers in December, marking a major step toward wider commercial use of humanoid machines in industrial environments.
Digit V5 is designed specifically for warehouse and factory operations, where it can work alongside people without requiring the extensive safety fencing typically used around industrial robots. The humanoid platform combines a human-scale form factor with autonomous mobility, allowing it to navigate facilities and perform material-handling tasks in spaces designed for human workers.
Agility says Digit V5 incorporates upgraded safety systems intended to let the robot operate in close proximity to people. This could eliminate the need for dedicated cages and barriers that can consume valuable floor space, require costly facility modifications, disrupt traffic patterns and force changes to existing workflows, reports Humanoids Daily.
The ability to operate without conventional fencing could make Digit V5 particularly useful in crowded warehouses and factories where installing a dedicated robotic enclosure is impractical. Workers could also move through areas where the robot is operating, potentially allowing more flexible collaboration between humans and machines.
Agility expects early customer deployments to validate Digit V5’s safety capabilities under real-world conditions before broader production begins. The company believes the technology could expand humanoid applications beyond logistics and manufacturing into sectors such as retail and pharmaceuticals, where earlier systems faced greater operational restrictions.
Advances robot safety
Agility is placing safety at the center of its next-generation Digit V5 humanoid robot, with a new system designed to let it operate in close proximity to people without traditional safety fencing.
The robot combines cameras, sensors and software that can detect and interpret people in its surroundings with hardware designed to respond safely to unexpected movements. Its proprietary cycloidal actuators in the hips and knees provide the strength and dynamic stability needed to react quickly without losing balance, dropping a payload or falling.
Agility has tested this capability by suddenly removing the surface beneath the robot, prompting it to take a corrective step and maintain its load. The company considers this dynamic stability an important part of its overall safety approach.
Digit V5 also introduces other features intended to support safer and more flexible operation. Its battery system is designed to support more than 20 hours of work per day, potentially allowing one robot to operate across three shifts. The humanoid also uses an ISO-standard flange that allows it to work with a broad range of robotic end-effectors. Agility has demonstrated Digit changing grippers and plans to eventually enable autonomous tool changes.
These capabilities could expand the robot beyond bulk material handling into tasks such as kitting and sorting, while maintaining the safety requirements needed for workplaces where humans and robots operate together.
DEEP Robotics’ intelligent robots are helping researchers observe Tibetan antelopes in the high-altitude Serling Tso Nature Reserve in China.
Located at an average elevation of 4,700 meters (around 15,420 feet), the reserve becomes a key observation site between July and September, when large herds return with newborn calves during the annual migration season.
The robots captured footage of the animals migrating, nursing, and foraging around Cuo’e Lake, providing researchers with visual data that could support wildlife behavior.
Recently, Deep Robotics’ DR02 humanoid showcased enhanced mobility, running on grass, jumping obstacles, climbing stairs, and operating near hazardous electrical infrastructure for industrial applications.
Robots aid wildlife
At an average elevation of about 4,700 meters, China’s Serling Tso Nature Reserve provides an important habitat for Tibetan antelopes. From July through September, large herds return to the region with newborn calves, creating an ideal period for researchers to study migration, nursing and feeding behavior.
During this year’s migration season, DEEP Robotics deployed its robots around Cuo’e Lake to support wildlife research and ecological conservation. The machines captured natural footage of Tibetan antelopes while minimizing human interference, providing researchers with valuable visual data for long-term population and behavioral studies.
Advancing into High-Altitude Ecological Zones – Intelligent Robots Assist in Scientific Observation of Antelopes pic.twitter.com/QvNNUk1yeH
DEEP Robotics has previously used robotic systems for high-altitude wildlife observation. In 2025, its X30 quadruped robot operated in the Hoh Xil region at an elevation of around 4,800 meters (around 15,750 feet). Its biomimetic design helped it blend into the environment and reduce disturbance to animals.
This year, the company deployed its Lynx M20 wheeled-legged robot in the Serling Tso Reserve, primarily for close-range visual documentation. The robot was required to operate across soft meadows, uneven permafrost and scattered gravel, where conventional equipment can struggle with stability.
Cold temperatures, rain, snow and other harsh weather conditions further complicate fieldwork, highlighting the potential of rugged robotic platforms for scientific observation in extreme environments.
Lynx M20 advances
DEEP Robotics’ Lynx M20 wheeled-legged robot is being used to support ecological research in the challenging high-altitude environment in Serling Tso Nature Reserve.
Designed for all-terrain operation, the Lynx M20 combines the speed of wheeled movement with the obstacle-crossing ability of legged locomotion. Its IP66 protection rating helps shield the robot from dust and water, while its operating temperature range of -20°C (-4°F) to 55°C (131°F) allows it to function in unpredictable plateau conditions.
The robot is also equipped with LiDAR and depth cameras that enable it to perceive changes in terrain, including meadows, uneven permafrost and gravel slopes. Using this environmental data, the system can adjust its posture and movement in real time, helping it maintain stability while navigating difficult ground.
A key advantage is its low-interference operation. Tibetan antelopes are highly sensitive to unfamiliar sounds and movements, making conventional close-range observation difficult. The Lynx M20’s relatively quiet movement allows researchers to approach herds with less disturbance and remotely document behaviors such as migration, grazing, and nursing.
Researchers observed the robot approaching a herd near Cuo’e Lake without causing the animals to flee. According to DEEP, the exercise demonstrates how increasingly capable mobile robots can extend scientific monitoring into remote and extreme environments.
Recent advances in miniaturized and portable electronics, particularly wearable and flexible devices, have increased the demand for self-powered sensing technologies. Among these, triboelectric nanogenerators (TENGs) have received considerable attention for developing highly sensitive tactile sensors.
In a time of rising skepticism against tech surveillance, it seems not even the best intentions can spare you from backlash.
That’s a lesson some good samaritans in Los Vegas learned the hard way, after a thermal imaging drone they were using to track a runaway dog was trashed by a group of unidentified vandals.
According to to Las Vegas station FOX5, the volunteer animal rescue group Paws Patrol LV has been scrambling to replace a $7,000 camera drone after it suddenly went offline while tracking an injured dog.
“For the past couple of days, we’ve been searching for a dog we believe was hit by a car,” the group wrote in a post on Facebook. “We searched on foot, but the vegetation was simply too dense to see through with flashlights. So we launched our thermal drone… one of the most valuable rescue tools we’ve ever owned.”
“Less than a minute after it took off,” the post continues, “a group of unhoused individuals knocked it out of the sky, smashed it, and threw it into the water.”
The animal-rescue group wasn’t left empty-handed for long, however, as a business owner from Montana chipped in to donate a brand new thermal imaging drone, per an update on the original post.
While it would be easy to blame a group of unwashed Luddites for the damage, it’s important to keep in mind that the true identity of the vandal or vandals remains unknown. If the vandals really are homeless, as Paws Patrol LV volunteers suggest, then their aversion to strange drones makes sense — elsewhere, surveillance drones have been deployed by police officers to clear homeless camps, while private citizens have used drones to drop dog feces on homeless populations struggling to survive.
And one doesn’t necessarily have to be homeless to have an aversion to the growing number of surveillance drones surfing our skies. In some parts of the US, malicious operators have used drones to harass random suburbanites and poach wildlife, while insurance adjusters are increasingly conducting secretive drone flights to find excuses to penalize homeowners and sometimes even drop customers altogether.
While we hope the dog gets found, the episode underscores a larger point: the skies have become a contested space, with drone operators both benevolent and vindictive jockeying for control — not just of the airspace itself, but over how their drones are perceived.
One of the world’s most ambitious neutrino experiments, the Deep Underground Neutrino Experiment (DUNE), is being built to catch some of the universe’s most elusive particles, but finding those fleeting signals may soon involve artificial intelligence.
As the massive detector takes shape a mile underground in South Dakota, researchers are developing AI systems to sort through huge amounts of data, identify neutrino interactions, spot signs of a stellar explosion and even detect problems inside the detector.
This could fundamentally change how scientists run a particle-physics experiment at DUNE’s scale.
For instance, instead of waiting for conventional analysis to work through enormous amounts of data, AI could identify important events in near real time and direct researchers toward the signals most worth investigating.
“These approaches are going to really accelerate DUNE in terms of the commissioning process and the sensitivity of the experiment to reach our full discovery potential,” Sowjanya Gollapinni, a representative from DUNE, said.
Can AI read ghost-particle tracks?
Neutrinos are notoriously difficult to study. Trillions pass through our bodies every second, yet they interact so rarely that detecting them requires an enormous detector and an intense neutrino beam.
Fermilab will generate a powerful neutrino beam that will travel to a detector at the Sanford Underground Research Facility in South Dakota, where huge chambers filled with liquid argon will record the tiny traces left when neutrinos collide with argon atoms.
Keeping so much argon in the right state is itself a huge engineering challenge. Each of DUNE’s two planned far-detector cryostats will eventually house about 17,000 tons of liquid argon, kept at roughly −300°F. The massive cryogenic containers must keep the argon cold enough for the detector to work.
However, the problem does not end when a neutrino is detected. Every interaction can produce several particles, each leaving a trail through the argon.
Scientists must work backward through those tracks to determine where the collision occurred, what particles were created, and what the original neutrino’s energy and direction were.
Fermilab researchers have already spent years testing whether machine learning can make this process faster. The MicroBooNE experiment was among the first high-energy physics experiments to use deep neural networks to analyze images from a liquid-argon detector. DUNE is now taking that approach much further.
“We are going to have very high resolution, almost photographic-quality images of these interactions. Which is great, but also brings challenges such as making reconstruction more difficult because we see such fine detail.” ,” Leigh Whitehead, an AI expert at DUNE, said.
An AI lookout for exploding stars
DUNE’s AI will also be searching for something far rarer—a supernova in our galaxy.
When a massive star collapses and explodes, neutrinos escape from its interior and can reach Earth before the burst of light becomes visible. This gives scientists an unusual opportunity to study the violent processes occurring inside a dying star.
DUNE’s giant liquid-argon detector is being built in part to capture neutrinos from astrophysical events such as nearby supernovae.
An AI trigger will continuously monitor DUNE’s detector for the telltale pattern of a supernova neutrino burst. If it finds a promising signal, the system is designed to preserve data from 10 seconds before to 100 seconds after the candidate event.
This could give astronomers an early warning, allowing telescopes to turn toward the exploding star while its light is still arriving.
The neutrinos themselves could reveal what the explosion leaves behind — potentially a neutron star or a black hole. This makes DUNE part particle detector, part cosmic early-warning system.
AI could become DUNE’s technician
There is another problem hidden inside DUNE’s enormous scale, which is keeping the detector running. Thousands of components must operate together underground, and operators need to respond quickly when something goes wrong.
Researchers are therefore investigating whether a large language model could search through records of previously solved problems and point operators toward relevant fixes.
Machine learning could eventually go a step further by recognizing patterns that indicate a detector anomaly before an actual failure occurs.
This approach, therefore, reflects a broader push to use AI throughout particle-physics experiments, where increasingly complex facilities are producing more data than conventional methods can easily handle.
Building an AI-powered physics experiment
DUNE will eventually produce petabytes of data, making fast and reliable analysis essential. Researchers are developing AI tools alongside the detector while working with national laboratories and universities to build the computing infrastructure needed to handle that flood of information.
The collaboration now includes more than 1,500 scientists and engineers from over 35 countries and CERN, while also training the next generation of researchers.
The AI systems will need to be developed and tested alongside the experiment, but if they work as intended, DUNE could become a model for how AI helps scientists operate massive experiments and find rare signals hidden in overwhelming amounts of data.
Though expensive, they’re gradually becoming a more attractive option over human security guards. At least, that’s according to new reporting by Business Insider, which notes that the cost to cover one 24/7 guard shift is anywhere from $80,000 to $130,000 cheaper per year when contracting robot dogs over human security officers.
That’s bad news for the nation’s security guards, an essential role providing low-barrier employment for uneducated workers. Often deployed to help property owners reduce insurance premiums, the role of security guard is an important source of income for some 1.3 million people. According to a report by the UC Berkeley Labor Center, about 60.8 percent of those roles are filled by people of color, while 27.8 percent of guards are 55 or older.
It is, however, a difficult job to make a living on, with the median annual wage of just $38,390 as of 2024. That being the case, the industry faces a high degree of turnover, which tech companies are all too happy to exploit.
“Training them and staffing them is super inconsistent, and it’s a big burden on the business,” Damon Henry, CEO of robot dog company Asylon, told BI.
So far, Henry says he has about 50 robots deployed across 25 customers nationwide. Compared to a workforce of 1.3 million humans, that might not sound like much. But if robotic production lines get more efficient and the bots themselves become cheaper to roll out, it’s hard to imagine the nation’s businesses keeping low-paid security guards on the payroll out of charity (just look at what happened with Walmart greeters.)
Still, you probably haven’t bumped into your last mall cop quite yet. As director of the UC Berkeley Labor Center’s Low-Wage Work program and co-author of the report referenced above Enrique Lopezlira told BI, the role is likely to experience pressures similar to that of other workers facing automation: security jobs won’t disappear entirely, but they will get much more demanding.
“The realistic near-term effect is not that guards are replaced,” Lopezlira said. “The human role is going to be pushed toward those hardest, higher-stakes parts of the work.”
Unitree Robotics wants to raise about $900 million in an I.P.O. that tests market interest in humanoid robots, a technology that wows but has yet to prove its viability.
It’s a regrettable reality that there is never enough time to cover all the interesting scientific stories we come across. So every month, we highlight a handful of the best stories that nearly slipped through the cracks. July’s list includes outfitting cyborg cockroaches with a tiny diving suit for navigating flooded terrain; confirmation that a Medici duke died of malaria, not poisoning; the best evidence to date that Betelgeuse is orbited by a companion star; and evidence that some ancient Egyptian princesses were skilled archers.
Sacrificial Incan boy died of blunt force trauma
Credit:
Administrative Archive, Regional Museum of Iquique–CORMUDESI
It's known that the Incas practiced a human sacrifice ritual known as Capachoca, in which children were offered to the mountains and believed to become divine themselves, serving as intermediaries with the gods. This often involved pilgrimages to the remote sacrificial sites, with colonial accounts describing strangulation, asphyxiation, and blunt force trauma as the most common methods of sacrifice. Archaeologists have reanalyzed the remains of one such victim and concluded the boy died from blunt force trauma, rather than freezing to death as previously believed. They described their findings in a paper published in the journal Science Advances.
Atlas Energy Solutions Inc. (Atlas) has announced that it intends to expand its autonomous truck operations in the US Permian Basin from 28 to 100 by mid-2027. The company will work with Kodiak AI, Inc. (Kodiak) to make this ambition a reality using its physical artificial intelligence (AI)-powered autonomous driving technology.
What that means in practice is retrofitting or upfitting trucks with a package of sensors, controls, cameras, and other hardware to enable them to be operated autonomously using an AI “driver.”
According to Atlas, the new trucks will be used to expand operations at its second load-out point along its 42-mile (68 km) “Dune Express” sand conveyor system. This system will help Atlas become more responsive to customer needs for the transport and supply of proppant in the region.
Proppant, in case you are unaware, is a special grade of sand used by oil and gas companies during hydraulic fracturing. The sand is pumped underground to keep the cavities created by fracturing open, allowing oil and gas to flow freely.
Delivering sand without drivers
As you can appreciate, that requires enormous quantities of the stuff. What’s more, transporting it from mines or storage sites to drilling locations involves thousands of repetitive truck journeys, often on remote, dusty and relatively predictable routes.
The load-out points refer to strategic locations along the so-called “Dune Express” where this sand is loaded onto trucks. At present, Atlas explains, autonomous trucks have been used from one load-out point at a time.
The addition of another (one in Texas and one in New Mexico) will enable them to cover a wider area and improve customer order fulfillment. According to Atlas, since incorporating driverless trucks into its operations, they have carried approximately 7,000 loads totaling around 450,000 tons of sand over 23,500 “driverless hours.”
As for the trucks in question, they are entirely driverless but with an important distinction. To date, these trucks have tended to operate on controlled oilfield logistics networks, or private roads, not public highways or lanes.
That is considerably easier from an AI-training perspective than allowing autonomous trucks to travel freely through ordinary cities or mixed public traffic. The next major step is therefore operating on public roads, which Atlas and Kodiak say they expect to begin by early 2027, subject to regulatory and operational approval.
Fleet to increase to 100 by mid-2027
That would greatly expand where the trucks can deliver. “This partnership with Kodiak is a critical part of the Atlas strategy to transform oilfield sand logistics through innovation,” said John Turner, CEO and President of Atlas Energy Solutions, in a press release.
“Our mission is to seek critical energy infrastructure with inefficiencies, then engineer solutions that improve efficiency, reduce risk and enhance our customers’ operational success,” he added.
“Together, Atlas and Kodiak have deployed the world’s largest fleet of driverless big-rig trucks,” said Don Burnette, Founder and CEO, Kodiak.
“We’ve demonstrated that autonomous trucking is delivering meaningful results today. Our expanding partnership, which now covers two unique locations, is creating a blueprint for how autonomy can transform logistics by improving efficiency, increasing productivity, and delivering lasting value for customers at commercial scale,” he added.
Além de três modelos para programação, cibersegurança e agentes de IA, a Google revelou a mais recente versão da plataforma Gemini Robotics, que permite controlar o corpo inteiro dos robots e coordenar tarefas de forma mais autónoma.
Quadruped robots, which walk on four legs, are increasingly used for tasks such as inspection, transportation and search-and-rescue operations. However, their repeated leg movements consume far more energy than the rolling motion of wheeled robots, making it challenging to improve energy efficiency.
A teleoperated centaur robot dubbed “Threehalves” could represent the future of manual work in some of our planet’s most dangerous environments, according to Satyress Robotics, the California startup behind the project. In disasters such as mudslides, wildfires, and rubble searches, the company says its robot can keep workers safe from on-site hazards.
The other side of the story is the robot’s creepy, almost demonic appearance, as conveyed on the provocative Satyress Robotics website, the imagery for which is so unusual that it almost gives the impression of being a parody—particularly in an age of breathless reporting on corporate claims, and sudden appearances of “viral” news stories.
Therefore, The Debrief decided to take a deeper look at this mechanical oddity that more closely resembles something out of Christopher Nolan’s The Odyssey than a project in development in a California robotics lab.
An Unsettling Robot
Threehalves isn’t exactly news; all of the available information on the robot was posted on the company website over a year ago, around the time of their only post on X. Yet it’s recently been discovered by internet outlets noting the creepy design of this robot that the company claims is here to help.
“It’s obviously quite over the top, but ultimately, this is at the extreme end of humanoid robotics in size and capability,” a company representative told The Debrief.
“People may be familiar with humanoid robots from TV/movies or product videos, but likely don’t understand just how powerful and heavy they are (especially ours, which is coming in at just under 7ft tall and 240 lbs currently),” the rep added. “Our thought is someone who didn’t know what it is should definitely stay away from it, and those that do know or are operating the machine should be reminded it’s quite dangerous.”
“If you look at something like a lathe or mill, they generally look intimidating, for good reason, even though they could be dressed up to look friendly and soft,” the rep concluded. “We’ll point out, though, that the ‘evil’ look is mostly from it being pitch black; with different colors or a wrap on it, it does not put off that vibe.”
Robot “Superpowers”
Part of Threehalves’ sales pitch is that it won’t replace jobs, but instead will merely transfer them to robotic operators using a joystick to guide Threehalves through manual work in dangerous environments. The website claims that this amounts to granting workers “superpowers,” allowing them to focus on honing their craft in new extreme situations. However, while the operator won’t have to directly get their hands dirty, Satyress Robotics told The Debrief that Threehalves is designed for line-of-sight, close-proximity operation.
“We don’t have any plans to develop much autonomy above what’s needed to keep the robot from damaging itself,” the Satyress Robotics representative said. “Our goal is to have experienced trade experts in control of the bots at all times. Forestry, for instance, is the deadliest job in the US – our goal is to save lives first and foremost, and we believe that is also enough economically to justify the cost of the bot without any autonomous productivity gain.”
Two of the robots can fit in a standard truck bed, allowing them to be easily transported to remote locations. Lacking hands, the robot can be fitted with a variety of unique attachments to hold various tools from chainsaws to drills. Of note, the robot is shown holding a gas-powered chainsaw. Exactly how it would manage to get the chainsaw started without an obvious way to pull the ripcord is unclear.
Safety First
With fears of a demonic Terminator immediately conjured up by Threehalves’ appearance, the company informs us that although “this robot is more dangerous than it looks,” the same is true of any humanoid robot, and this one comes equipped with a variety of safety features.
Ironically, one of these is the robot’s menacing horns, which significantly slow the robot down in moving through standard-size door frames, and can even be replaced with larger horns that make traversing such portals impossible.
“It’s another way to make it clear this isn’t a toy, [a] security guard, etc,” the Satyress Robotics representative said. “It’s built for one reason, for a teleoperator to do dangerous work or heavy lifting from a safe, in line of sight distance.”
“We are not looking at any use cases in commercial buildings, and certainly not residential,” they added.
The recommended methods to halt the robot may be as disconcerting as its appearance. Credit: Satyress Robotics
A Violent Stop
Additionally, air reservoirs in the chest cavity and on the robot’s back are designed to activate pin locks on all its joints, rendering the robot immobile if air pressure is lost. Imagery on the website suggests this can seemingly be accomplished by stabbing Threehalves with a knife or shooting it with a gun. Fortunately, a more pacifist option to halt the robot also exists: simply by hitting an e-stop button located on its stomach.
When pressed on why the company would design their robot to be susceptible to gunfire specifically, the representative didn’t seem to find this the least bit unusual.
“Nothing software wise/control wise, whether autonomous or teleoperated, can be guaranteed to never have any kind of control issue,” the Satyress Robotics representative said. “This gives a means to lock the brakes remotely without necessarily damaging the robot beyond repair.”
Robot Reality or Hoax?
With the unsettling design and suggestion that the robot may eventually have to be shot to stop it from injuring a human, one of this reporter’s main questions became: “Is this a joke?” The outlandish nature of the project reminds one of prankster Joey Skaggs’ tricks on the media, such as the time he convinced WNBC-TV in New York and United Press International that he had recently developed a cure-all derived from roach hormones, which he was injecting into his followers.
However, the Satyress Robotics representative confirmed that the company’s new quadrupedal working robot is no joke.
“It’s not a prank. Also, we’re building it with the goal of keeping workers safe, so we just want to make it clear we’re thinking of every edge case and looking for ways to solve them outside of software,” the representative explained. “We are quite a ways away from showing the robot in any kind of elegant motion, thus the static renders/photos.”
Given that the company hasn’t posted on social media in over a year and has no LinkedIn presence, it was unclear who was behind the operation and if it was still underway. According to the company, they will shortly be making a video to introduce themselves.
While one picture on the website appears to show a live test with a joystick, there are no videos of Threehalves in motion on the website, and our email conversation confirmed it is not yet a functional robot.
For now, the company tells The Debrief that they are currently working on component-level testing and any commercial version of the Threehalves is more than two years away.
Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.
A Qualcomm exec suffered from one of the most disastrous tech demos we’ve ever seen live on stage at Computex 2026 this summer. In what should have been a wow moment during a press event in Taipei, Qualcomm hardware partner NEURA Robotics’ 4NE-1 humanoid robot quickly shifted gears from being a technical tour de force to a crashing mechanical shambles.
We see that the 4NE-1 humanoid robot is powered by Qualcomm’s Dragonwing IQ10 robotics reference design (RRD), claimed to be capable of 700 TOPS. But even before the robot’s spectacular malfunction, it didn’t look particularly healthy or nimble. 4NE-1’s slow shambling walking style radiated strong Two Soups vibes.
As the robot eventually hobbled close enough to the smart-suited presenter, the on-stage human picked up a Qualcomm Dragonwing IQ10 RRD from the robotically delivered platter and proudly showed it off to the attending crowd. As the applause and whoops subsided, the robot turned to face the crowd, and the presenter rolled on with his spiel.
Seconds into his script, the exec spun away to the side as the 4NE-1 humanoid robot very suddenly and noisily collapsed into a mechanoid mess. After resting in its terminal backbend for a second, one robot hand raised momentarily to make a futile gesture. Thankfully, the glass tray that had carried the Dragonwing IQ10 box onto the stage didn’t shatter.
We can think of another 'D' word for the strapline (Image credit: Qualcomm)
Stage hands seemed well-prepared
While the overall feeling from watching the video is one of shock from the ambling robot’s sudden noisy collapse, many on social media have commented on how unruffled and well-prepared the stagehands seemed to be. The silent and swift action of the black-clothed helpers, first cloaking the dead robot with purple silks, then the trio carrying it away, exits stage left, making it look like this catastrophe wasn’t such a surprise to some.
As the robotic remains were eventually removed through the side doors, we hear the brave speaker who carried on regardless come to the end of his polished presentation. The crowd politely and quite loudly claps - but is most of the applause for the speech, or for the unflappable stagehands who have efficiently extracted the heap that was the 4NE-1?
This late-emerging clip from Computex 2026 rivals the Windows 98 USB plug-and-play scanner crash during Bill Gates’ presentation at Comdex. That infamous software crash event may well have prompted the creation of the USB Cart of Death.
Legged robots have recently transitioned from science fiction to engineering fact, with modern humanoid and quadrupedal machines now capable of delivering packages to front doors and taking on dangerous military missions. With a massive surge in financial investment in the offing, a new study describes the technical advances that have made legged robots a reality and explores the critical ethical considerations, economic potential and policy implications of the "intelligent machines" that are increasingly walking among us.
University of Queensland researchers have developed new noninvasive sensors that measure muscle forces, unlocking new possibilities for wearable robotic mobility devices. Ultra-wideband radar sensors measure electromagnetic changes in muscles as they contract, allowing researchers to collect data in a way that's never been done before.
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