Consistency, not complexity, is the key to teaching robots dexterity, new research suggests
The Trump administration’s violent deportations and crackdown on protestors against Immigration and Customs Enforcement have set an ominous tone for the upcoming FIFA World Cup, which is taking across a number of North American host cities this month.
Both human rights and football fan groups have voiced concerns over the militarization of law enforcement and presence of ICE agents during the lead-up to the tournament, which is expected to draw many millions of international visitors.
Vice president JD Vance hasn’t exactly helped the situation, warning foreign visitors in chilling comments last year that they should “go home” after the event, or else “they’ll have to talk to [former secretary of homeland security Kristi] Noem.”
So it shouldn’t come as a surprise then that sightings of Boston Dynamics’ Spot robot dogs at the AT&T Stadium in Arlington, Texas, raised surveillance fears in the state, as Chron reports. Rumors that the robots were using facial scanning technology on passersby spread like wildfire on social media. However, a Boston Dynamics spokesperson told Chron that the robots “do not have facial recognition capabilities” and will be used to “assist security personnel with investigating things like suspicious packages or other potentially hazardous materials.”
The dogs are part of a broader “Security Spot” initiative by Boston Dynamics owner Hyundai. On its website, the company claims it’s “deploying its largest and most advanced mobility fleet to date and, through its collaboration with Boston Dynamics, becoming the first and only official partner to provide robotics for the tournament.”
“As part of this effort, Security Spot, a four-legged patrol robot, will support on-site security operations, helping contribute to a safer tournament environment,” the website reads.
Nonetheless, netizens were left unsettled by the sight, drawing comparisons to the “Black Mirror” episode titled “Metalhead,” which is set in a post-apocalyptic wasteland in which a woman is relentlessly hunted by an advanced, autonomous robot dog.
“Well, that puts a chill down my spine,” one Reddit user responded to a video of a robot dog cocking its head back and forth while glancing at the person filming, giving the impression of scanning their face.
“I can’t get over how they made it dance while it performs techno-authoritarian surveillance,” another user wrote.
Mexico, which is hosting matches across three venues for the World Cup, will also be patrolling grounds using four robot dogs, called “K9-X,” which function as a kind of first responder, as Wired reported earlier this year. (Authorities did not disclose who makes them or other technical details.) Officials told the publication that the robots will intervene in the event of a fight or drunken debauchery to protect officers’ safety — which, given the reputation of soccer fans, probably isn’t unlikely.
More on the cup: Nike’s AI Designed World Cup Jerseys Are a Disaster
The post World Cup Will Be Patrolled by Security Robodogs appeared first on Futurism.




Scientists from the Advanced Robotics Research Center at the Korea Institute of Machinery and Materials (KIMM) have developed a new process to weave ultra-thin fibers of shape-memory alloy (SMA) into fabric artificial muscles, enabling wearable robotic clothing that tests have shown can increase the wearer’s strength and reduce muscle load by up to 40%.
Although wearable robots designed with the new fabric-weaving process are currently limited to the laboratory phase, the KIMM research team behind the breakthrough method is already working on prototype designs for individuals suffering from strength and mobility limitations, with the ultimate goal of finding a commercial partner to bring their super-strength fabric manufacturing process to the wider marketplace.
In an email to The Debrief, Dr. Cheol Hoon Park, Principal Researcher at KIMM’s Advanced Robotics Research Center and the leader of the wearable robot project, explained that many countries are entering a “super-aged” phase of society, and the demand for wearable robot technology that can increase strength and mobility is expected to dramatically increase.
However, Dr. Park noted that for such technologies to become more widely available, the limitations of current technologies must be overcome.
“They must be lightweight, comfortable to wear, and affordable,” the project leader explained.
For example, conventional wearable robots designed to provide strength and support to multiple joints, such as the shoulder, elbow, and wrist, rely on heavy, noisy motors or pneumatic actuators. The research team noted that these components make systems bulky, expensive, and uncomfortable to wear, especially during extended use. The answer has been an increased reliance on simpler, single-joint, wearable robots. Still, assisting large, complex joints like the shoulder has remained a major obstacle.
Now, Dr. Park and the KIMM team said they’ve created a system for weaving fabric muscles into fabric, resulting in a scalable method for mass-producing wearable-robot clothing that is quiet, streamlined, easy to use, and consumes very little power.
Instead of air-powered actuators or bulky electric motors that add power to human muscles and joints, Dr. Park’s team created fabric muscles using small fibers of a material called shape-memory alloy. SMAs are materials that regain their original shape when exposed to elevated temperatures or pressures.
For this application, the team used an SMA wire with a diameter of 25 μm, or roughly one-fourth the width of a human hair. Next, the KIMM team processed the individual wires into coil-shaped ‘yarn.’ Like traditional yarn, this SMA yarn can enable the continuous weaving of fabric muscles.

When asked by The Debrief how their fabric muscle wearable robot works, Dr. Park explained that the SMA coil fibers that make up the muscles contract when heated to “about 40–50 °C.” However, he notes, the user is unlikely to notice the material being heated, so it can exert a directional force to assist muscle movement and reduce joint load, “thanks to an insulating fabric layer.”
“Like human muscles, the fabric muscle contracts as it heats up and relaxes as it cools down,” Dr. Park told The Debrief. “Cooling fans are not required when the user simply holds a load, but for repetitive lifting tasks, faster cooling is needed, so the fans help accelerate the process.” Park added that fans can be integrated in future consumer versions of the jacket, “depending on the use case.”
The wearable robot is powered by a 200 g battery pack mounted on the back of the jacket, which also includes a compact controller to change settings. Park said that the contraction force exerted by the fabric muscles can be altered by changing “the amount and duration of electric current” supplied to the system’s SMA fibers.
Depending on the setting level the user selects and their activity level, Dr. Park told The Debrief that the system “can typically operate for about four hours on a single charge.”
According to the team’s announcement, the KIMM team’s prototype wearable robot, a jacket with the SMA fiber muscles built in, was able to simultaneously assist the wearer’s elbow, shoulder, and waist. Tests showed that the less-than-2-kilogram jacket reduced muscle effort by more than 40% during repetitive physical tasks. Notably, the 10g of wearable robot fabric at the core of the system can light 10-15 kilograms (22-33 lbs.)
A more complex shoulder-assist, wearable robot weighing just 840 grams (less than 2 pounds), tested in clinical trials at Seoul National University Hospital (SNUH) on patients with muscular weakness, including those with Duchenne muscular dystrophy, improved average shoulder movement range by over 57%.
When discussing the next phase of development, Dr. Park told The Debrief that they are currently “developing and evaluating a prototype of the clothing-type wearable robot in the form of pants.”
“We expect that it could help people who have difficulty walking on slopes or stairs, or standing for long periods of time,” the project leader explained.
Although the current version of the wearable is not yet commercially available, Dr. Park noted that the core technology for weaving SMA fibers into fabric muscles was developed at a non-profit research institute, “so it will need to be transferred to an industrial partner for commercialization.”
We have already developed both the manufacturing equipment for mass-producing the fabric muscle — the core component — and a working prototype of the wearable robot,” he added.

Although there is no pending agreement with a commercial partner to date, Dr. Park told The Debrief that once they transfer their technology to a commercial partner, they expect it could reach the commercial market “within one to two years.”
Although there are potential uses for the team’s fiber muscle-weaving process, including enhanced strength “super soldiers,” Dr. Park told The Debrief, “We hope that the fabric muscle we developed—and the clothing-type wearable robot based on it—will help make wearable robotics more accessible and ultimately improve the quality of life for many people.”
The paper “Soft Exosuit Based on Fabric Muscle to Assist Shoulder Joint Movements in Patients With Neuromuscular Diseases” was published in IEEE Transactions on Neural Systems and Rehabilitation Engineering.
Christopher Plain is a Science Fiction and Fantasy novelist and Head Science Writer at The Debrief. Follow and connect with him on X, learn about his books at plainfiction.com, or email him directly at christopher@thedebrief.org.
A San Francisco robotics startup is being taken to court by an Airbnb host who claims the company’s “robotic prototype testing” caused extensive damage to his home.
In the lawsuit filed on May 26, 2026, Sean Donovan is seeking more than $12,000 in damages from the Bay Area startup The Bot Company. The court case was first reported by SFGate, which also interviewed Donovan about the unprecedented mess he encountered after the startup’s employees supposedly rented his former childhood home through Airbnb.
The first clue that the guests were not typical tech startup employees needing a temporary crash pad came when Donovan was taking care of the trash during the guests’ stay. He told SFGate about seeing “bundles of wires” throughout the house and a robot he described as a 6-foot-tall “Roomba with treads” that also resembled the cybernetic Borg from the Star Trek universe.


© Malte Mueller | Getty Images
A San Francisco robotics startup is being taken to court by an Airbnb host who claims the company’s “robotic prototype testing” caused extensive damage to his home.
In the lawsuit filed on May 26, 2026, Sean Donovan is seeking more than $12,000 in damages from the Bay Area startup The Bot Company. The court case was first reported by SFGate, which also interviewed Donovan about the unprecedented mess he encountered after the startup’s employees supposedly rented his former childhood home through Airbnb.
The first clue that the guests were not typical tech startup employees needing a temporary crash pad came when Donovan was taking care of the trash during the guests’ stay. He told SFGate about seeing “bundles of wires” throughout the house and a robot he described as a 6-foot-tall “Roomba with treads” that also resembled the cybernetic Borg from the Star Trek universe.


© Malte Mueller | Getty Images


Intel is invading the physical AI space with a reentry into the robotics market it quit many years ago amid financial struggles.
The robotics strategy is part of the company’s larger plan to establish AI on the “edge,” in which devices have the computing capability to run AI locally. Many devices lack AI capabilities and have to offload processing to the cloud.
The chipmaker said its Intel Series 3 processors are now in 130 edge AI and robotics designs. It also had a design win with SensoryAI, which provides technology for robots that include Ella, a robotic barista made by Crown Digital.
The company’s Core Ultra Series 3 processors are derivatives of chip designs intended for laptops. But Intel has achieved a level of power efficiency for long battery life that allows those chips to be adapted for handheld devices and laptops.
Intel also said it can build advanced robotics chips thanks to its latest manufacturing technologies.
For example, many robotic functions, such as computer vision and real-time controls, can be integrated into a single chip. Previously, functions like graphics and movement and control were distributed among different cores in a chip.
SensoryAI, for example, has a chip architecture that provides the robotic barista — which is more like a robotic arm — with AI capabilities, Intel said.
The main “Avatar” agent handles customers as the main “Ella” agent reasons and executes the task. If Ella encounters errors, it passes on the issue to a Guardian agent, which helps with the recovery. Some issues could include making sense of an order, or cups that might be stuck.
The three agents are embedded in a single piece of Core Ultra Series 3 silicon.
Intel is displaying some of those robots at the Computex trade show in Taiwan. The company shared a video of a humanoid-style robot from the floor in a X.com post
This is not Intel’s first attempt at the robotics market. Intel sold robotics chips and kits when it was a dominant chip player in the field, but curtailed efforts in 2021 after Pat Gelsinger took over as CEO and restructured the company to focus on manufacturing.
Robotics is now back on the menu under new Intel CEO Lip-Bu Tan, who replaced Gelsinger last year. He has restructured to company to focus on high-growth areas that can generate high returns.
A Morgan Stanley study last year indicated the robotics market could be worth $5 trillion by 2050 — and more than 1 billion humanoid robots could be in operation.
Robots are seen to improve human productivity and manufacturing output. For example, they could help factories that are facing labor shortages or be used to complete tasks that are dangerous.
However, challenges remain. There isn’t yet enough real-world data to train robots to do targeted work. And the AI models — generally called world models — they will need are still under development.
Training robots to do a specific job requires a sequence of events to happen in succession without any errors. Companies are still training robots to spot and understand errors, analyze possible resolutions, and take the right corrective action.
