robots

that humanoid robots controlled by a central AI work

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Samsung has planted itself in the MWC 2026 with one objective: to demonstrate that it is a ubiquitous company. What does this imply? Well, let them gain muscle with your screens everywherebut also show a powerful commitment to artificial intelligence in all links of the chain: from mobile phones to Samsung Galaxy S26 to the factories. And as a result of that intention for AI to be the pilot of everything, they have shown a science fiction plan: that robots and a central AI control their factories. And they want it the day after tomorrow. Independent. He concept of “agent AI” It’s one that we’re going to have to become familiar with because companies are going to put a lot of effort – and money – into this. It is an AI that no longer only responds to what we need, but can carry out actions autonomously. In a releaseSamsung assures that that agent principle that has been introduced in the Galaxy S26 It will be what dictates the future of its factories. The South Korean company wants these artificial intelligence agents to be the ones that “optimize workflows in production, predictive maintenance, repair operations and logistics coordination” in its factories, but an AI cannot execute things outside of the software. Need a physical interfaceand that’s where the other leg of the plan comes into play. Robots. They are the body of the brain and something that many companies are already exploring. A few months ago I traveled to China and came across the first store run by a robot. It is very simple and I described it as a “glorified vending machine”, but it meets the objective of these companies: to have spaces in which robots take care of everything. They don’t rest, they don’t have agreements and they don’t complain. And if companies like BMW either Xiaomi is already testing robots in its factories, Samsung does not want to be left behind. In the statement, the South Korean company states that they are already progressively introducing highly specialized humanoid robots for various tasks. For example, robots for facility management operations, others for the next steps of the production line, others in logistics, others for the transportation of materials, and precision robots for manufacturing. They point out that they are ideal in environments where human access is limited or dangerous and they are clear that it is something that will grow, with other robots dedicated to monitoring plant conditions, identifying risks and mitigating them before they occur. Total bet. In the end, it is about fully integrating AI across the entire manufacturing value chain: from logistics to production; from quality inspection to final shipment. They are designing a “next-generation autonomous production environment,” and they want to have it soon. The plan is that by 2030, “all manufacturing operations” will have completed the transition to this agentic and robotic AI. They are already at it, as we say, adding robots to production chains, but Samsung’s Executive Vice President and Head of Global Technology Research points out that the next phase is the “construction of autonomous environments where AI understands contexts in real time and executes optimal decisions.” NVIDIA. It sounds like science fiction, especially because of the deadlines they have, but they will not be alone in this adventure. Who is going to be by your side? Indeed: NVIDIA. At the end of last year, both they signed an agreement collaboration that includes the deployment of more than 50,000 NVIDIA GPUs and the use of the platform Omniverse to carry out the infrastructure of digital twins in semiconductor manufacturing. This is key to achieving that goal that Samsung seeks and as important as the AI reasoning systems in real time for robots. And for this they are also using the Jetson Thor platform from Jensen Huang’s company. Alternative to TSMC. That is the goal that Samsung wants to reach. Because right now they are one of the largest factories in the world (they have their Exynos processorsbut also its camera sensors that are in various devices, as well as its division of memory that powers NVIDIA GPUs), but what they want is to become an alternative to the undisputed queen: TSMC. To do this, Samsung is moving, opening factories in several countries around the world and investing enormous sums of money to be one of the legs of the business in the United States which also pursues this agentic AI and the end with haste and a good wad of cash: general AI. There are four years left to see if this objective, which seems like science fiction, is met. Images | Samsung, Xiaomi In Xataka | I have seen the result of a crazy night between a mobile phone and a robot: the Honor Robot Phone dances to your music as well as takes photos of you

The big problem with putting robots everywhere is that they get lost. An engineer from Elche believes she has the solution

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It is no surprise that we see more and more robots in our daily lives: in a restaurant bringing orders to the table, in the field as a seasonal workermaking him courier delivery competition…and that’s not to mention its applications in automation on an industrial scale. Robots don’t need to rest, they don’t have labor rights, and they don’t complain. But they get lost. And that is a real, very common problem for which a research team from the Miguel Hernández University of Elche has found solution. The context. Autonomous robots need to know where they are to function and that does not always happen: when the location reference is lost, either because someone moves it, it is turned off or the environment changes without warning, the robot is unable to recover its position. Something as normal as running out of battery can be a technical drama. This phenomenon is not something isolated, in fact it even has a name in robotics: the “kidnapped robot problem“. Although we see more and more robots everywhere, this incident is a pending issue that has not been resolved in a robust way for decades. Without going any further, because resorting to GPS is something that can fail in settings such as indoors or near tall buildings. As deepens Míriam Máximolead author of the article: “It is a classic problem and very difficult to solve, especially in large environments.” The solution. What the team from the University of Elche has implemented is MCL-DLF, the acronym for Monte Carlo Localization – Deep Local Feature, a system that combines two technologies: on the one hand, a 3D LiDAR that emits laser pulses to draw a three-dimensional map of the environment similar to that of robot vacuum cleaners. On the other hand, an artificial intelligence that learns which elements of the environment are most useful for orientation. Why is it important. Because having a reliable location system is essential for any robotic deployment in real life: autonomous vehicles, delivery and logistics, assistance… its presence may be increasingly common, but it is still tremendously dependent on supervision: knowing where it is is essential for it to operate safely. The implemented method also introduces an important change: it is independent, in that it does not require external infrastructure to function like GPS, so its base is more robust and versatile in the face of different use scenarios in the real world. How it works. Its approach is hierarchical, so it first recognizes large structures and then fine details, similar to how people do. When you arrive at an unknown place, first you keep the essentials: what neighborhood you are in, for example. Then you look for more specific references to refine further. Furthermore, the system does not play everything on one card: it maintains several position hypotheses simultaneously and discards or refines them as the sensor captures more information. Tests carried out for months on the university campus with different lighting conditions, vegetation or simply the weather have shown more consistency than conventional methods. A good start with pending subjects. Beyond its promising results, the most striking thing about this research is its commitment to sensory autonomy: it does not depend on networks of beacons or GPS, but on its own sensors. This makes it a potentially more versatile system. However, it faces the great historical challenge of robot placement: how fragile it is in the face of changing environments. It is true that they have tested it in different conditions, but it has been within the campus: making the leap to more complex and constantly changing environments is their litmus test, in addition to additional validation in extreme conditions. Finally, before an eventual real commercial deployment, we will have to see how it integrates with other navigation systems and its computational cost. In Xataka | Tesla has been building the Optimus for years. China has just presented itself with fifteen companies and factories already set up In Xataka | We already have so many “humanoid” robots that it is difficult to differentiate one from the other. This graph fixes it Cover | Enchanted Tools

15 Chinese car manufacturers are going to produce humanoid robots. They will use the same advantage that made them leaders

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China is not late to humanoid robotics: it arrives with factories, suppliers, engineers and software already amortized, an advantage that is difficult to overcome. The supply chain of an electric car (sensors, motors, batteries, chips, perception algorithms…) overlaps by more than 60% with that of a humanoid robot, according to CITIC Securities estimates. XPeng, one of the most technological manufacturers in the sector, It also ensures that its robot reuses 70% of the same AI software as its cars.. If those numbers are real without many asterisks, the Chinese manufacturers of electric vehicles are not that they are aspirants to robotics, it is that they are clear favorites. The panoramic. Fifteen Chinese car brands have announced humanoid robot programs, according to the analysis firm Kaiyuan Securities. China already manufactures 70% of the components of “classic” industrial robotics, and the jump to humanoids takes advantage of the same factories, the same suppliers and the same talent that have given it leadership in electric vehicles. The parallel with what Tesla is doing with Optimus is inevitable, but China is running it with dozens of companies in parallel, at a speed that no single company can match. Between the lines. The bets diverge as much as the companies: Yes, but. There are dark clouds on the sunny day that is humanoid robotics for China. XPeng’s IRON robot crashed in a shopping mall in Shenzhen a few days ago. The company has been in robotics for six years. Driving on roads and moving through the rooms of each parent are very different problems. Roads have lanes, signs, and fairly predictable physics. The rooms have stairs, dozens of small objects, people moving, doors to open, intricate locations or chargers with a cable on the floor. The manual dexterity and dynamic balance required by a humanoid robot have no equivalent in the control architecture of any car. And the most talented engineers in the sector know it: several former XPeng executivesLi Auto and Huawei have left their companies to found their own robotics startups. When the path seems clear, the best are not afraid to go it alone. The contrast. Unitree, a pure robotics company with no ties to the automotive industry, distributed 5,500 robots in 2025. Agibot is approaching 1 billion yuan in revenue, about 122 million euros. These companies built from the ground up for robotics are already delivering their product while car manufacturers are still in the reorganization phase. The technological overlap between cars and robots is real in sensors and perception software, but it quickly thins out when the robot has to manipulate objects with great precision, maintain balance on uneven terrain, or work alongside humans. That last “frontier”, the 30% that does not transfer, may be where it is decided who dominates the industry. In Xataka | China manufactures 90% of the world’s humanoid robots and the reason is not its industrial policy: it is crossing the street Featured image | Xpeng

Europe has thought of throwing three robots into a volcanic lava tube and now colonizing the moon or Mars is closer

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While the mission Artemis II Its objective is for human beings to return to the moon after more than half a century later, space agencies continue to investigate how to reach other planets and there space robotics is essential because well: space in general and places like Mars are the most inhospitable for life. So a European research group in which, among other entities, the European Space Agency participates, has introduced an autonomous robotic system inside a volcanic lava tube in Lanzarote, like collects this paper published in Science Robotics. Their conclusions bring us closer to a future colonization of the Moon or Mars. The context. Neither Mars nor the Moon have a flat desert surface, but rather they constitute volcanic worlds where there are underground cavities formed millions of years ago by liquid lava. We are not talking about small cavities precisely: there is space for a city to fit in as long as low gravity allows sizes of kilometers, how this study explains. Lava tubes are present on the Moon, on Mars and also on Earth, without going any further we can find some in Hawaii or the Canary Islands, precisely where the research was carried out: The lava tube of La Corona de Lanzarote has sections that reach 30 meters wide and high, come on, that It’s a cave like a cathedral. Why is it important. Because the space environment is harsh: there are extreme temperatures, radiation and meteor showers, a crude combination that makes it difficult for life to exist or simply to establish an eventual foundation for human civilization. On the other hand, if there is any remains of life or frozen water left, these caves are the ideal place to look for it. These structures are strategic because they function as natural shielding against ionizing radiation, extreme thermal flows and meteorites. So the next generation of robots will have the mission of exploring those underground lava tubes on Mars and the Moon to see what their conditions are like. The Lanzarote experiment. Anyone who has been to Lanzarote will know that it has places that seem taken from outer space. That is where the La Corona lava tube is where three different robots with different roles began their characterization mission without GPS or sunlight: The lookout stays outside mapping the entrance. The Explorer: It is essentially a cube full of cameras that you drop into the hole to look before anyone else. The speleologist, who rappels down to enter the darkness at a depth of 235 meters. The discovery. That they did 3D mapping as they progressed was just one of the objectives of this mission, led in the technical section by the German Center for Artificial Intelligence. But what is as important as how: the robots were not controlled with a remote control, but rather functioned autonomously, making their own decisions on the fly. Their performance in collaborative tasks is essential since in space the radio signal takes minutes to arrive from Earth. First Lanzarote, then Mars. The test carried out on heterogeneous and cooperative space robotics was a success, although there is still room for improvement regarding navigation without light and how the sensors respond to interference from the environment. In Xataka | Mars has just entered the exclusive club of planets with rays. This is discouraging news for NASA. In Xataka | We knew that Mars has gravity. Now we have just discovered the unexpected effect it has on the Earth’s climate Cover | dfki

China manufactures 90% of the world’s humanoid robots and the reason is not its industrial policy: it is crossing the street

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On Chinese New Year, 16 Unitree humanoid robots danced a folk dance before almost a billion viewers. The West reacted as always: some with panic, others with disdain, others with an undisguised admiration that sometimes tends to concoct theories with more clichés regarding China than real analysis. None of those answers is entirely true and that blindness has a cost. The context. China manufactures about 90% of the humanoid robots sold in the world. In 2025, about 13,000 units were shipped, with Chinese companies (AgiBot, Unitree, UBTech…) dominating the ranking by volume, according to Omdia data collected by Bloomberg. Tesla, with all its brand reputation and all its industrial apparatus, internally deployed around 800 units of the Optimus that same year. The figure. He Unitree G1 It costs $13,500. He Tesla Optimus will exceed 20,000. That gap is the difference between being able to iterate ten times with the same budget or staying at one. Between the lines. The story circulating in the West has two versions, equally lazy: The first: all this is the five-year plan, the hand of the State, industrial policy made robot. The second, reserved for the most condescending: it is because they copy. Neither of them explains what is really happening. China’s advantage in robotics does not come from the Communist Party. It comes from the Pearl River Delta and the Yangtze Delta: the two densest manufacturing ecosystems on the planet. Motors, actuators, sensors, custom PCBs… everything is available within walking distance. Is what it describes Rui Xuan engineer who has worked in robotics startups in China and Silicon Valley. When Unitree wants to test a new joint design, it crosses the street and comes back with the right component. A team in San Francisco has to wait weeks to receive the same component from China. The background. That difference in iteration speed changes everything in hardware engineering. It stops being a problem of talent, because Chinese and American engineers are equally capable, and becomes a problem of infrastructure. Breaking a robot, learning, replacing it, and trying again: that’s what builds cumulative technical advantage. If breaking a robot costs three weeks of logistics, learning stops and times become longer. Yes, but. China does have state support, and it is completely legitimate to point this out. The government has injected a lot of money into that sector and has set production targets. But it’s not that Silicon Valley is an impoverished region: it has more capital, investors with more experience and resources, and more decades of experience financing high-risk bets. If this were a war to see who has the fattest checkbook, the United States would win handily. But it is not. Furthermore, Chinese state money comes with strings attached: it is classified as “state asset” and founders assume personal liability if the company fails. That pushes capital toward politically safe bets, not necessarily toward the most innovative ones. The question. Can the West make up ground in robotics? Yes, but not like he’s trying. Attracting foreign talent helps on the margin, but does not solve the underlying problem. The equalization involves building local supply chains capable of delivering a spare part in two days, not two weeks. And that is not an immigration or R&D problem. It is an industrial-based problem, and solving it takes many years of work. And of thankless work, from which those who arrive later may reap the fruits. Until then we are going to see many more viral videos of Chinese robots doing pirouettes with increasing naturalness. And it’s because they’ve built the best environment in the world to break things and try again. In engineering, that explains almost everything. Featured image | CCTV In Xataka | Folding clothes or taking apart LEGOs has always been a tedious task. Xiaomi’s new AI for robots has put an end to it

China brought humanoid robots to the country’s biggest television show: it made them practice kung-fu with millimeter precision

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Every year, hundreds of millions of people in China sit in front of the television to watch the Spring Festival Gala, recognized by the Guinness Book of Records as the most watched annual program on the planet. It is not only a music and dance show, but also a showcase where the country decides what image it wants to project of itself. In this scenario of maximum visibility, the presence of humanoid robots ceases to be a simple technological curiosity and begins to function as a public declaration about the place that innovation occupies in the national narrative. What happened there was not just an artistic number, but a clear clue as to where the Asian giant is looking when it thinks about its technological future. Kung fu, choreography and coordination. To present their robots to millions of spectators, the organizers turned to a deeply recognizable symbol: martial arts. In the CCTV broadcast available on YouTube We can see robots using traditional weapons such as swords and nunchucks, as well as doing tricks and jumping from trampolines, always in sequences shared with human performers. The choice of kung fu provided more than just visual spectacularity, it can also be interpreted as a close way of reading technological advancement within a tradition known to the public. The magnitude of the event. The Spring Festival Gala has been broadcast since 1983 and is an inseparable part of the New Year celebration in hundreds of millions of homes. Reuters also describes it as an event comparable, in terms of media scale, to the American Super Bowl, capable of concentrating popular culture, political message and industrial ambition in a single night. What appears in that scenario entertains and, at the same time, projects a message and indicates priorities. A gateway for the industry. Behind the staging there were specific names and a visible strategy. They participated in the gala companies known in the West such as Unitree, but others less known such as MagicLab, Galbot and Noetix. The immediate precedent helps to understand the moment: Unitree’s robot performance in the previous edition went viral and, in a way, brought this technology closer to the general public. So the idea of ​​betting on a similar show again is reasonable. From the stage to the factory. The public display of these systems fits with a line of industrial policy that places robotics and AI at the center of the next Chinese manufacturing stage. In recent years we have seen how the Asian giant has invested heavily in this sector. According to OmdiaChina accounted for around 90% of the nearly 13,000 humanoid robots shipped worldwide last year, a global shipping metric that does not go unnoticed. Morgan Stanley also projects that Chinese sales could exceed 28,000 units this year, which would point to a notable expansion phase. In Xataka There are people sharing their court cases with AI. The problem is when a judge considers the conversations as evidence In the end, what was seen on that stage went beyond well-executed choreography. Behind each movement appeared a country narrative that combines technological ambition, industrial policy and cultural projection in the same television image. The question is no longer whether these robots can perform in front of millions of people, but rather how much their presence will grow in the coming years and into what spaces of daily life they will end up integrating. For now, its massive presence is destined for this type of spectacle. Images | CCTV In Xataka | While technology companies dispense with juniors to replace them with AI, IBM is doing the opposite: catching bargains (function() { window._JS_MODULES = window._JS_MODULES || {}; var headElement = document.getElementsByTagName(‘head’)(0); if (_JS_MODULES.instagram) { var instagramScript = document.createElement(‘script’); instagramScript.src=”https://platform.instagram.com/en_US/embeds.js”; instagramScript.async = true; instagramScript.defer = true; headElement.appendChild(instagramScript); – The news China brought humanoid robots to the country’s biggest television show: it made them practice kung-fu with millimeter precision was originally published in Xataka by Javier Marquez .

Xiaomi already has its own AI model for robots. At the moment, he’s great at taking apart LEGOs and folding towels.

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It has been a long, long time since Xiaomi stopped being a mobile company. Today the company’s tentacles reach all types of sectors, from mobile and household appliances until cars, chip design and, from now on, robotics. And the Chinese company has just presented its first vision, language and action model for robotics. Its name: Xiaomi-Robotics-0. What is this about?. Xiaomi-Robotics-0 an open-source model whose code can be found in GitHub and HugginFace. As the company explains, this model has been optimized to offer “high performance, speed and smoothness in real-time executions.” We should not think of this model as an AI capable of making a robot run and jump like a human, but rather one capable of making a “simple” robot understand its surroundings and know how to make the optimal decision without, for example, destroying whatever it has in its hands. About the robots. When we talk about AI applied to robotics we are not just talking about a robot being able to move. The device must know and understand that it should not apply the same force when holding a brick as it does when holding a cat, for example. In that sense, there has to be an understanding of the visual, an understanding of what is being seen and an appropriate execution of actions: this is a brick > it is a heavy object > I have to apply more force to hold it and move it from one side to the other. Xiaomi-Robotics-0 results in the benchmarks | Image: Xiaomi The benchmarks. Xiaomi has achieved, as detailed on the project website, very good results in the benchmarks I RELEASE (measures knowledge transfer), SimplerEnv (measures performance in real simulations) and CALVIN (measures performance in tasks conditioned by language). According to the company, Xiaomi-Robotics-0 “achieves high success rates and robust results in two challenging two-handed tasks: disassembling LEGOs and folding towels.” The fun of training. Every AI model draws from a training dataset. In the case of Xiaomi-Robotics-0, a 4.7 billion parameter model, the dataset consists of 200 million time steps of robot trajectories and more than 80 million samples of general vision-language data, including 338 hours of LEGO disassembly videos and 400 hours of towel folding videos. The results. The company claims in the paper that its model is capable of disassembling complex LEGOs of up to 20 pieces, adapting the grip in real time to avoid errors, using only one hand to place the towel correctly and folding it or, if you pick up two towels from the basket, take one of them, leave it in place and fold only one. This demonstrates an interesting capacity for adaptation and learning that, although it may seem trivial on paper, has its value if we think about industrial and even domestic robots. Beyond. What this model is demonstrating is being able to adapt to complex and unpredictable geometries, such as that of a towel thrown in a basket, and to understand the, let’s say, “soft physics.” On a towel it may seem like a small thing, but let’s think about manipulating human tissues in an intervention, for example. Same with LEGOs. It’s not just disassembling them, it’s understanding the position of the blocks, how they fit together, what force to apply and at what angle so as not to break them. Let’s think about a robot that removes debris. An industrial robot has historically been programmed with fixed coordinates, that is, moving something from point A to point B. A robot with AI like the one proposed by Xiaomi would be much more versatile. The first robot learns movements, the second robot learns tasks, and the difference is a world. If we think about a distant future in which there are domestic robots, a robot cleaning dust from a shelf will not be the same as knowing how to identify objects, decorations, etc., and understanding that it must move them to avoid throwing them away and cleaning them thoroughly. Cover image | Xiaomi In Xataka | A Chinese company boasts another limit in robotics: it ensures that its new humanoid robot runs like an elite athlete

China surrounded an enclave with robots. Now they have been given a rifle to shoot at 100 meters, and the result points to an island

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China has been leaving increasingly explicit clues about how it imagines future conflicts. In 2025, PLA maneuvers included island assault exercises minors using ground robots and unmanned systems, a sign that Beijing is no longer testing only classic amphibious crossings, but scenarios where machines make way before soldiers. Those practices marked a clear direction: Combat automation was no longer a distant theory, but something China was beginning to test on the ground. Now he has amplified it. Drones with rifle. China has made a qualitative leap in the use of combat drones by demonstrating that a UAV armed with a standard assault rifle can be 100% right of his shots against a human target at 100 meters while remaining in hover. The system, developed by a Chinese company together with the PLA special operations academy, fired 20 times and placed half of the hits in a comparable radius. a shot to the heada result that makes it clear that these are no longer experimental platforms but rather precision weapons ready for real environments. Extra ball. It does not seem like a specific experiment or a laboratory demonstration: the team itself has explained that the only “imperfect” shot was due defective ammunitionnot the system, making this test an unmistakable sign of where Chinese combat power is headed. Taiwan and a problem. This progress cannot be understood without the Taiwan backdropone of the most urbanized territories on the planet, where any military operation would require fighting in dense megacities, full of civilians, underground infrastructure and narrow streets that neutralize many traditional advantages. For the PLA, the challenge is not just cross the seabut to dominate neighborhoods, subway stations and residential complexes where human infantry suffer enormous political and military costs. The Chinese response to this dilemma is neither doctrinal nor moral, but technical: dealing with urban warfare as an engineering problem which can be solved by delegating violence to machines capable of moving, identifying targets and shooting without fatigue or fear. A bet. In fact, recalled in The Diplomat that the essay of the armed drone fits into the third major phase of Chinese military modernization, the so-called “intelligentization,” which seeks to replace human decisions with distributed artificial intelligence systems. Having mechanized and digitized its forces, the PLA now aims to delegate key functions (detection, prioritization and attack) to algorithms that operate faster than any human chain of command. In this framework, a drone with a rifle is not a curiosity, but rather an elemental piece of an ecosystem where sensors, weapons and software act in a coordinated manner, reducing the role of the soldier. to a mere initial authorizer or, in the extreme, eliminating him from decision-making altogether. Swarms in alleys. There is much more, because the medium stood out documents and studies linked to Chinese military universities that reveal that the target is not individual drones, but autonomous swarms specifically designed for urban warfare. These systems are designed to operate at low altitudes, inside buildings, indoors and underground, even when communications are degraded or non-existent. Through simple rules and self-organization, swarms They could patrol areastrack people and execute attacks without receiving orders in real time, a solution that the PLA consider ideal to neutralize defenses in cities such as Taipei or Kaohsiung and to eliminate key objectives before external forces can intervene. The gray area of ​​legality. The technological bet is accompanied by a legal position deliberately ambiguous by Beijing on lethal autonomous weapons. As? Defining as unacceptable Only those systems that simultaneously meet a series of very strict criteria, China leaves itself a wide margin to develop weapons capable of killing without direct human supervision, as long as they can be stopped in theory or follow pre-programmed rules. This ambiguity, they say, contrasts with documented risks of AI in combat (identification errors, inability to interpret human intentions, data biases) and makes it easier for research to advance without clear regulatory brakes. The future that is being tested today. In short, the drone that shoot with surgical precision at 100 meters is not an anecdote, but tangible proof of where the Beijing strategy: move the war to the heart of the city and delegate it to machines. There is no doubt that if this model is applied in a conflict such as Taiwan, the combination of autonomous swarms, integrated light weapons and decisions without human intervention could multiply the risk for civilians and reduce the political thresholds for the use of force. From that prism, what is presented today as a technical experiment is, in reality, a most disturbing preview: that of an urban war where the alleys are no longer patrolled by soldiers, but by armed robots that will never ask questions. Image | Heeheemalu In Xataka | The biggest geopolitical risk on the planet is not Greenland. It’s a smaller island with a disturbing neighbor: Taiwan In Xataka | 200 drones in the hands of a single soldier: China is advancing very quickly in a type of war that seemed like science fiction

There is a Chinese startup creating the most amazing robots of the moment. It’s called X Square

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The only embodied AI (bodied artificial intelligence) company backed by the three Chinese technology giants: ByteDance, Meituan and Alibaba. Just over two years of life and financing rounds in which they have managed to overcome the 400 million dollars. These are some of the cover letters of X Square Robot, one of the most promising companies in the field of robotics. where does it come from. XSquare It is a Chinese startup which was born in 2023 at the hands of Wang Qian, an engineer and doctor from the University of Southern California who, in recent years, has maintained a discreet profile in the industry. The company was born not only as a company aimed at creating humanoid robots: they are also behind the development of the language models necessary to lead in robotics. The roadmap. The startup, despite its youth, has made the most of its two years of life. December 2023, full financing and start of operations. March 2024, efforts begin to develop a general large-scale model for embodied AIthe brain that would move its robots. May 2025, commercialization of Quanta X1, a bimanual wheeled robot equipped with its WALL-A model. Specially designed for logistics and commercial tasks. July 2025, first to show purposeful AI model general capable of directly controlling a highly dexterous robotic hand. Unlike traditional approaches—based on rules, fixed trajectories or action-specific training—the system uses a single model that integrates perception, planning and control, allowing grip and movement to be adapted in real time to changes in the environment. August 2025, Quanta X2 arrives, its first humanoid robot, also with a wheel base. The product. Quanta X2 is the latest solution from X Quare, a wheeled humanoid robot that integrates the company’s own AI model. This model allows the robot to have a vision system, autonomous motion control, real-time task planning, etc. We highly recommend watching the demo video in which X Square shows it in operation, because it is spectacular. Why is it important. X Square does not sell ordinary humanoid robots, it sells cognitive capacity. The norm in robotics companies is to design the hardware and adapt it to existing software. X Square designs its own models focused on physical AI. This is something fundamental for his native country, China. The country wants to accelerate the automobile industry in 2030 with 100% automated factories. The aid policy is especially favorable for local companies developing robotics solutions. China has created centers responsible for training robots to imitate human behavior. X Square software is key The backup. X Square is backed by giants like Alibaba and Bytedancethe first group having announced an internal team dedicated to robotics using Qwen, its AI models division, as a base. Despite Alibaba’s muscle when it comes to creating its own language models, the investment of more than $140 million in X Square Robot makes it clear that it is much more than a typical startup. Image | XSquare In Xataka | Robotics has just broken another scale barrier: there are already autonomous robots smaller than a grain of salt

Hyundai imagines factories full of humanoid robots. A Korean union has said ‘not so fast’

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Hyundai has been building a very specific story for months about the future of its factories, one in which humanoid robots go from being a distant promise to a real industrial tool. The image is powerful and connects with a global race to automate increasingly complex processes, but in South Korea that discourse has already found its first limit. Even before robots enter production lines, the union has come forward to make its position clear and warn that any changes that impact employment will have to be negotiated. A clear warning. Hyundai Motor Union has made it clear that “Without an agreement between the company and workers, not a single robot can enter South Korean plants,” stressing that any decision with an impact on employment must go through the negotiation table. The message connects directly with the current collective agreement, which requires all measures that affect work to be subject to debate and joint approval. With this positioning, the introduction of humanoids is emerging as one of the possible reasons for friction between worker representatives and the Asian corporation. Fear that South Korea will lose prominence. The union links automation to a broader movement of industrial reorganization, marked by the growth of manufacturing in the United States. As they explain, the planned increase in capacity at the US plant could end up subtracting volume from factories in South Korea, and they maintain that two centers would already be suffering from a lack of workload. In this context, humanoids are interpreted not only as a technological tool, but as an element that can accelerate job adjustments if it is not accompanied by clear guarantees regarding the maintenance of employment. The starting point of the discussion. This comes after Hyundai introduced Atlas, the humanoid robot developed by Boston Dynamicsas a key piece of its medium-term industrial strategy. The firm assured that it plans to progressively integrate it into its global network of factories starting in 2028. It also explained that these robots are designed to take on general industrial tasks and work alongside people, with the aim of reducing physical effort and taking on potentially dangerous jobs. Of course, he avoided specifying how many units he will deploy in the first phase or how much the project will cost. First in the United States. The manufacturer has already begun to draw how it wants to industrialize this bet. The group has explained that it will build a specific plant in the United States for the production of robots, a factory dedicated to producing Atlas on a large scale in the coming years. The first operational destination would be at the Georgia plant, known as HMGMAwhere humanoids would initially be used in very specific tasks, such as classifying and sequencing parts for the assembly line. The small labor print. Hyundai’s commitment is part of a much broader race to bring humanoid robots to the industry. Companies such as Tesla, Amazon or the Chinese manufacturer BYD have announced similar plans, although with different degrees of maturity. Some projects have already gone from demonstration to real work, such as the robot Figure 01 in a BMW plantwhere he performs support tasks autonomously. These are still limited and highly supervised experiences, but sufficient to show that the leap from the laboratory to the factory has already begun. Images | hyundai In Xataka | 100% autonomous factories where it is not necessary to turn on the light: China is already considering manufacturing cars only with robots in 2030

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