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US chip champion Intel was so confused by the US government ban on foreign-made robots that it requested and received a waiver “out of an abundance of caution.” The tech company wanted to make sure that it could continue using certain robotic vehicles in its US chip fabs.
The uncertainty surrounding the Federal Communications Commission ban on certain foreign-made robots was revealed in the agency’s decision to grant Intel’s waiver request. On October 22, the FCC published its order allowing Intel to continue using the foreign-made robots in US semiconductor manufacturing facilities for a period of one year.
The robots in question are automated guided vehicles operating on “tracks or predefined paths” while often requiring operator oversight, according to Intel’s website. They help to move materials and items around within warehouses and factory floors.
No organization in the world operates more robots than Amazon. The company already has more than 1 million robots working in warehouses around the clock to make tens of millions of same-day and one-day package deliveries happen on a daily basis—and Amazon is poised to significantly grow that robotic fleet in the coming years as it establishes new factories to churn out increasingly more capable robot workers.
Despite deploying so many robots, Amazon is also the second-largest corporate employer in the world, with more than 1.5 million full-time and part-time human workers, according to its 2025 annual report. Amazon executives say that the growing robot fleet has eased the burden on its human workforce by taking on the toughest fulfillment center tasks that carry the greatest risks of physical fatigue and injury. But labor advocacy groups and independent researchers point to evidence suggesting that warehouse automation driven by AI is not all upside for the humans who work alongside robots.
“For the last 100 years, most of the automation that we've seen usually happens away from workers—you're taking that high-risk task away from the worker, and you're doing so in a way that is not physically proximate,” Brad Greenwood, professor of business at George Mason University, told Ars. “The rise of collaborative robots really changes that dynamic for two reasons: one is that it is physically proximate, and two, the robot has the ability to dictate the pace of work.”
Investors bullish on AI data centers may be fueling Nvidia’s multitrillion-dollar market capitalization, but the AI chipmaker has also bet billions of dollars on physical AI technologies such as robotics and self-driving cars. Part of that gambit has involved developing a full-stack safety system that companies can build upon to reduce the risk of their machines harming nearby people.
Nvidia's Halos system launched in 2025 with hardware and software tools to help developers implement guardrails in self-driving cars and other autonomous vehicles. Then the company expanded its safety architecture to more physical AI technologies by announcing Nvidia Halos for Robotics in June 2026—with the goal of enabling safe deployments of autonomous mobile robots in warehouses, humanoid robots walking around inside a factory, or even surgical robots.
“Now the AI models are getting capable, the robot hardware is getting capable, and a thing we thought is going to be the next bottleneck is safety,” Amit Goel, head of robotics ecosystem and edge computing at Nvidia, told Ars. “So that's why we launched our Halos for Robotics to unlock the capability of these systems.”
On a sunny morning in June, I walked to work with a quadruped robot beside me. I’ve never gotten more attention from strangers.
A bunch of people snapped pictures of my robot dog. Several people asked me questions. Was it mine? (Yes.) Did I build it? (No.) Was it being used for surveillance? (No.)
Biological dogs kept a safe distance from my mechanical companion. Some growled or barked at it.
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. August’s list includes the discovery of a new celestial object astronomers have dubbed a "black hole star"; breaking down plastics with microbes and turning them into edible cookies; how whale calls are connected to Einstein's special theory of relativity; and how avocado tree flowers switch sex during the day, among other highlights.
Credit:
Rohan Naidu (University of Hawai'i)
In 2024, astronomers combing through datasets taken by the James Webb Space Telescope noticed hundreds of mysterious little red dots lurking therein, believed to be baby quasars. They existed when the Universe was just a few hundred million years old. One such object in particular captured scientists' interest: a red dot that was extremely red and very bright, but whose properties didn't fit with any known astrophysical object. Astronomers have now concluded that the little red dot is a "black hole star," so named because it is the size of a large star but produces far more energy than would be possible via nuclear fusion—energy comparable to what an active black hole would produce.
Viral videos of the World Humanoid Robot Games show sprinting robots beating the human 100-meter record held by Usain Bolt—but also feature running robots crashing into barriers and falling down because they cannot readily stop running. A few fallen robots even break at the waist in a shower of sparks or catch on fire.
That demonstration of both robotic prowess and limitations came from the second edition of the World Humanoid Robot Games hosted in Beijing from August 22–26. Like the inaugural event held in 2025, this year’s event challenged humanoid robots to run fast, perform kung fu or dance moves, fight one another in kickboxing, and play soccer or table tennis.
This year’s games also tested robots in more humdrum practical scenarios like washing and hanging laundry, where they appeared to lag behind typical human working speeds. That suggests the event organizers, including Chinese state media and the Beijing city government, are keen to showcase the commercial potential of humanoid robots at a time when China’s robotics industry is rapidly developing and testing such robots.
A leading US distributor of China’s most popular humanoid robots and robot dogs now plans to produce its own robots at a facility on Long Island, New York. The business pivot comes amid the US government’s growing crackdown on foreign-made robots.
The company, RoboStore, had previously become the main North American distributor for humanoid robots and quadruped robots from Unitree Robotics, a Chinese robotics company that produces some of the most affordable and popular humanoid robot models. Universities like Harvard and MIT, along with tech companies like Amazon and Nvidia, purchased such robots made in China through RoboStore for their own research and development purposes.
“We’ve sold over 1,500 robots and deployed them and worked with customers like Cisco, OpenAI, Nvidia, and over 150 universities,” Teddy Haggerty, founder and CEO of RoboStore, told Ars.
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.
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.
Robots powered by Google's Gemini AI models are now more capable. With the debut of Gemini Robotics 2, these physical bots can now accomplish more complex tasks, continuously analyze changing environments, and collaborate with other robots. This is thanks to a trio of new sub-models, one of which is publicly available for developers starting today.
Videos of robots running, dancing, and backflipping have been a staple of the Internet for years, but these machines were programmed to perform these very narrow tasks. The goal of Gemini robotics is to create a generalist robot, one that can do anything a human could do. Google DeepMind scientists sometimes call this "physical AGI." Essentially, you tell a robot what to do, and it does it. With the 2.0 release, Google says its robotics AI can control an entire humanoid robot with improved dexterity, even for machines with complex humanoid hands.
This starts with Gemini Robotics ER 2, an upgraded "embodied reasoning" model that DeepMind claims is a significant leap over the previous 1.6 release. It's integrated with the Gemini Live API, giving developers the opportunity to experience that supposed leap forward.
Humanoid robots and four-legged robots made in China fall squarely under a new ban imposed by the US Federal Communications Commission on foreign-made robots. But the sweeping prohibition covers a wide variety of robots manufactured anywhere abroad, including the newest robot vacuum cleaners.
The Trump administration's FCC justified the ban on foreign-made robots by referencing cybersecurity vulnerabilities previously discovered in robots specifically made by Chinese companies. On July 28, the federal agency added “foreign-produced advanced robotic devices” to its Covered List of technologies “deemed to pose an unacceptable risk to the national security of the US or the safety and security of US persons.”
However, the FCC cannot update the Covered List on its own initiative and is required by law to follow the direction of a “qualifying national security authority.” The agency describes the White House as having “convened an executive branch interagency body” that “included appropriate national security agencies,” which determined foreign-made robots as presenting a national security risk.
Robots slithered like snakes into the rubble of collapsed buildings to search for trapped survivors in the aftermath of Venezuela’s double earthquake disaster.
The so-called snake robots represented a unique technological aid for international search and rescue efforts following two earthquakes that struck Venezuela on June 24, killing more than 5,000 people and leaving behind 16,740 injured. Rescuers from around the world used trained dogs, seismic and acoustic listening devices, video cameras on sticks, or thermal imaging cameras to search for signs of survivors—but the snakebots equipped with a video camera could squeeze through tight spaces to search deep within fallen building debris.
“The reason why snake robots are useful is they can get into tightly packed volumes that machinery and people otherwise cannot, and that's important in search and rescue because we were able to extend the visual reach of the rescue workers in a safe way,” Howie Choset, head of the Biorobotics Lab at Carnegie Mellon University in Pittsburgh, told Ars. “In a sense, you're doing minimally invasive surgery on a structure with a snake robot.”
Over the past few years, many of us have gotten a crash course in what we now call artificial intelligence—but really, it has mostly been a crash course in large language models. Increasingly, however, LLMs are no longer the only category of AI drawing high expectations, massive funding rounds, and significant research and product development.
Over the past year, we've seen a plethora of new announcements in a category labeled "world models," and you'll likely see more movement there in the coming months and years.
Instead of or in addition to working with language, world models aim to lay the groundwork for AI systems that are capable of simulating the physical world, or at least a useful approximation of it.
What happens when you give AI coding agents a lab full of robotic arms, some compute resources, and a “generous token budget” for teaching the robots various tasks? The agents can apparently figure out a training regimen that teaches the robots to successfully cut zip ties and even insert GPUs into thin sockets on motherboards.
That glimpse into how AI can act in a fully autonomous way to automate robot training was made possible by a new agent harness framework—software that wraps around AI models to enable their use of various tools while also providing capabilities such as memory, context, constraint, and feedback loops. That agentic harness, called ENPIRE, was developed by robotics researchers at the Nvidia GEAR (Generalist Embodied Agent Research) lab alongside collaborators from Carnegie Mellon University in Pittsburgh and the University of California, Berkeley.
“A part of our NVIDIA GEAR lab now self-improves tirelessly overnight,” wrote Jim Fan, director of AI at NVIDIA, in a LinkedIn post. “We just read the reports in the morning.”
It may appear that humanoid robots capable of handling any task have almost arrived—especially when tech companies showcase them performing acrobatic feats or handling household chores. But there is still a significant gap between these robot demonstrations and proving that the same robots can reliably and repeatedly manage such tasks in the real world.
The latest wave of robot videos can be particularly tricky, given the human tendency to anthropomorphize objects with a humanoid figure. A robot arm doing a dance move may simply seem “cool,” but a humanoid robot doing the same dance move can trigger more misleading assumptions, said Jonathan Hurst, cofounder of Agility Robotics and a robotics researcher at Oregon State University.
“People automatically extrapolate and assume that the robot that looks like a person can do all the things that a person who can dance could do—which is not true,” Hurst told Ars. “But a lot of the startup companies do kind of prey on that for being able to raise a lot of money.”
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.
A $2,500 pair of humanoid robot legs built from 3D-printed parts and off-the-shelf components is not going to win marathons just yet. But such relatively inexpensive hardware could enable researchers to more easily test and train AI-powered robotics software in a physical body during real-world experiments.
The newly available LeRobot Humanoid project comes from the machine-learning and AI development platform Hugging Face. The full-stack release gives robot builders and researchers access to a bill of materials, files for 3D-printable parts, wiring documentation, and physical assembly instructions—but it also includes software tools for calibrating and controlling the robot in both the physical body and in simulation.
“If you are looking for the most advanced humanoid robot, this is not it,” wrote Virgile Batto, a robotics engineer at Hugging Face, in a blog post coauthored with other colleagues. “If you are looking for a humanoid you can build, understand, repair, instrument, simulate, and use for learning experiments, this is the robot we are trying to make.”
Humanoid robots are getting a new gig as baggage handlers and cargo loaders at Tokyo’s Haneda Airport—part of a Japan Airlines experiment to address a human labor shortage as airport visitor numbers have surged in recent years.
The demonstration, set to launch in May 2026, could eventually test humanoid robots in a wide range of airport tasks, including cleaning aircraft cabins and possibly handling ground support equipment such as baggage carts, according to a Japan Airlines press release. The trials are scheduled to run until 2028, which suggests that travelers flying into or out of Tokyo may spot some of the robots at work.
This marks the latest foray for humanoid robots after they have already begun pilot-testing in workplaces such as automotive factories and warehouses. Most robotic productivity so far has relied on robotic arms and similarly specialized robots that perform the same predictable tasks on assembly lines and in warehouses. By comparison, humanoid robots face a much stiffer challenge in dealing with more open and unpredictable work environments, and it remains to be seen whether the latest robotic software and hardware will be up to the task.
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