robots

Mova Rover X10, the “what do you want me to beat you” of pool robots

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Mova has just landed in Spain con a lot of devices. One of them is the Mova Rover X10, a pool cleaning robot that costs more than 2,000 euros, but that is a lot more than just a ‘Roomba’ for the pool: It is a cleaning submarine. Last year we already analyzed the Dreame Z1 Pro (Mova’s sister company) and although it made my life much easier with pool maintenance, there were things that could be improved to make the experience better, such as the control system and charging. And here comes Mova with the “what do you want me to beat you” of pool cleaning robots. Let’s go with the main features and get into detail. Mova Rover X10 technical sheet Mova rover x10 Dimensions and weight 540 x 460 x 320mm 15.8kg Mapping and navigation 29 sensors Surface and wall mapping Real time control Obstacle Avoidance Dynamic Suction power Maximum of 38,000 L/h Cleaning surface Up to 500 m2 Brush type Two central rollers Two side rollers Filter 3 micron particles 5 liter capacity Control With mobile Battery 6 hours of floor cleaning 12 hours of surface cleaning 6.5 hours of charge Wireless charging Price 2,099 euros Design with multiple brushes There is not much room for innovation when it comes to pool cleaning robots. It’s like the robot vacuum cleaner: There is an almost standardized design because it is ideal for attaching brushes, moles, navigation system and tank. In the case of a pool robot, the same thing happens, although with some extra elements such as the propulsion system. However, Mova has gone all out and he thought that two central brushes for the background were not enough and he attached two smaller ones to the sides. With them you make a first pass by scratching the wall, but they have another function that we will get into later. Something fundamental in a robot vacuum cleaner is the navigation system. The more complete it is, the fewer passes it makes over the surface and the more efficient it is in cleaning. Mova calls theirs ‘360-degree AquaScan’, but basically it is a front sensor, one top and one side to know at all times both the distance from the walls and if there are any obstacles. In the upper backpack we have the reusable filter and Mova ensures that a load of its 15,000 mAh battery It allows six hours of floor cleaning, being compatible with fiberglass, tile, concrete, marble, stainless steel, ceramic and PVC pools. Submarine So far, a “conventional” robot vacuum cleaner. However, there are three features that are really crazy and that we can’t wait to try. One is the propulsion system. The pool cleaner robot has jet propulsion, as this is what allows it to both move forward and stick to the surface and walls. However, the Mova adds another four propellers at the base. So that? To make a ‘jump’ and go up to another platform. Instead of going up, moving close to the wall, he directly pushes himself off. That’s it, an underwater ‘rover’ that solves a problem that some of the competition has: underwater navigation. Other robots have an app that allows very intuitive control and mapping, but once they are submerged, the connection is lost. Some have a knob for basic control, but depending on the water conditions, it may go… or not. What the Rover X10 includes is a beacon. It is connected by WiFi and allows us to have constant communication with the robot. If we want to pause work or change the plan, we simply do it from the app without having to go to the edge of the pool to try to get the remote control right. It also, obviously, allows us to see the work in real time. Surface vacuum cleaner And those two side brushes that we mentioned before are the last trick of this model. Because It is not just a pool cleaner robot, but a surface cleaner. It has a front nozzle that works like a home robot vacuum cleaner: it sucks up dirt thanks to both its advance and what the side brushes attract. According to the manufacturer, it has 12 hours of autonomy in this mode. To charge it, instead of by cable, we have an IPX8 certified base for wireless charging. Mova Rober X10, price and availability Given the characteristics of the Mova Rover X10, it’s time to talk about the price. And as you’d expect, packaging all this technology doesn’t come cheap. The device can now be purchased for 2,099 euros on your website. In the end and as happens with other similar ones such as lawnmower robotsit all depends on the desire you have to automate unpleasant tasks that are not usually pleasant. In Xataka | 3D printing has three big problems. Mova has solved them in a very curious way: with a nozzle roulette

the “wolf pack” robots with all kinds of autonomous weaponry

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China has turned robotics into a state issue. In the last five-year plan, the country made clear its total commitment to autonomous robots, agentic AIthe development of your semiconductor industry and 6G as the great ‘cloud’ to give life to Physical AI. Within the technological commitment, we already knew that robot dogs were of great importance. What we didn’t expect is that they already had packs of robodogs ready to go into action. And all this under a brain that makes them work like a swarm. Robowolves. The Asian giant has been performing simulations with these robot dogs armed. The advantage of these units is that the base is the same for all, but they can be customized so that they carry whatever is needed: from weapons to sensors of all kinds. Each one weighs about 70 kilos and can carry another 25 kilos, so the versatility when it comes to having ‘extras’ for attack, reconnaissance, transportation and supplies is maximum. And they can be operated remotely by humans, but the key to the Chinese system presented by the state channel CCTV (as stated SCMP) is that they can also be under the control of a central AI. Herd. We have already mentioned that one of China’s objectives is physical AI, AI being the software that controls – the brain – and the robot the hardware that has contact with the real world -the dog-. Within a show of force, television highlights operations such as “urban cleanup” in which a pack of ‘wolves’ operates through a shared detection network that acts as a collective brain. It is an autonomous mode and decision-making is joint within the group. As in a pack of flesh and blood wolves, each one has different roles. And they have names. ‘Shadow’ is the recognition, giving information about the situation to the rest of the group. ‘Polar’ is the one that offers logistical support and ‘Bloody’, as its name suggests, is the one that can carry weapons such as grenade launchers, missile launchers and automatic rifles. What’s scarier is that the group can automatically maneuver into tactical formations thanks to that swarm control system to surround targets, block them, and ultimately open fire. One of those responsible for researching the Atlas weapons system in China pointed out that these drones “understand” the intentions of others and can execute collaborative actions even in the absence of communication signals with the command. Utility? Operate in situations where satellite signals are not available. An example of one of the ‘Polar’ Limitations. Although it may seem like science fiction – and it is – these units are not perfect. The army itself has revealed on occasion that robodogs lack armor, so they are easily shot down even with light fire. They have recognized that the idea is no longer to achieve perfection, but to advance in the demonstration that they can replace human troops with robots, minimizing casualties in the event of open conflict. There is also something more underlying: as in a pack, the strength is not in the individual, but in operating together as CCTV claims these swarms of robots can do. And another limitation (and thank goodness) is that, although robots are capable of identifying and focusing on targets autonomously, they cannot attack without human confirmation. And a ‘Bloody’ show of strength. The reports shared by CCTV indicate that the algorithms of this system allow collaborative tasks to be carried out between different types of weapons. For example, coordinating attacks between ground and aerial drones, but also guiding laser weapons. One case is an algorithm that allows robots to prioritize targets, such as neutralizing the most threatening ones first, leaving less important targets aside. And Zhang Wei, a researcher at the China Electronics Technology Group corporation, pointed out that the goal is to achieve robots with “full autonomy on a large scale”, a scenario in which many different drones operate collaboratively without human intervention, achieving objectives and making decisions in complex missions autonomously. Total commitment to robotics. As always, you have to take anything that comes from any government with a grain of salt when talking about this type of thing, since (and even more so now) propaganda is super important. However, it is undeniable that China is betting heavily on the development of robotics and that these robowolves are not a render like the ‘space destroyer’ that they showed a few weeks ago. They are already carrying out simulated missions and we have seen them in other scenarios, such as in the daily life of different firefighting units. helping carry out reconnaissance missions and firefighting. And, deep down, I can’t get out of my head how cool these things were when we saw them in the movies and how scary it is when they seem to be one step away from becoming a reality. Image | CCTV/China In Xataka | China has asked Russia for an airborne battalion and training. That can only mean one thing: they are preparing a landing

Amazon was already using robots like crazy. Now you have a 42-inch humanoid robot that dances and picks up toys from the floor

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Amazon has been using robots in its logistics centers for years, but although these robots have demonstrated a brutal automation capacity for certain processes, they were “limited” to moving boxes and managing orders. Last week this technology giant took another step in this area: acquired the company Fauna Roboticsa New York startup developing a humanoid home robot called Sprout. Now the question is: what will Amazon do with it? Hello, Sprout.. The Fauna robot has a very different profile from the industrial robots that until now dominated Amazon’s logistics centers. It is not designed for factories, but for living rooms and kitchens. The startup describes it as a housework assistant. If the children don’t clean up the room, he will do it. Sprout is able to pick up toys from the floor, bring food from the pantry, and interact with children and pets. It works when you call it by name, it recognizes faces, it creates a memory over time and it has an interchangeable battery with an autonomy of about three hours. Its current price: $50,000, and its “heart” is NVIDIA’s Jetson Orin robotics platform. From Astro to Sprout. In September 2021, Amazon presented AStro, a home robot that I wanted to be more than just an Alexa on wheels. That model hardly caught on and in fact raised certain suspicions about the threat posed to privacy. The difference with Sprout is that this robot has limbs and instead of “rolling” it walks. It also has social interaction capabilities that Astro did not have. Alexa+, candidate to be part of Sprout. Amazon has been trying to boost its ecosystem with AI solutions for a long time, and its latest attempt is Alexa+an intelligent assistant whose deployment is being especially gradual. Months after its launch, it is still available on a limited basis in some company products such as your Echo speakers or your Echo Show smart displays. The question is whether this new assistant will be an integral part of Sprout. An increasingly lively race. The acquisition of Fauna makes Amazon the latest major protagonist in a race in which more and more large technology companies are involved. Tesla has Optimus, for example, while others like Figure AI or Boston Dynamics are aiming high. Apple, Meta and Google have expressed interest in this field, although none have presented specific projects and they are all rumors. A decade ago everyone wanted to have smart speakers. Now everyone wants to have humanoid robots, but there is a problem. China. Although Western companies are advancing, those that are clearly leading the way in this market are Chinese humanoid robots. The Asian giant manufactures 90% of the world’s humanoid robotsand the spectacular demonstrations that we have seen in recent months seem make clear that their progress is really promising. Unknowns. At the moment Amazon does not seem to be clear about the marketing of these robots. Fauna will maintain its name and apparently some independence. Its 50 employees will join Amazon, but Amazon will not use Sprout for its logistics operations and has not confirmed whether it will be sold to end users. It seems more of a bet on the technology of Fauna and his team, and a more defensive move. If humanoid robots end up taking off, Amazon has a good starting point here. Image | Wildlife Robotics In Xataka | We have been living with robots for years that beat us at chess. Now we have robots that beat us at tennis

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

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