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IEEE Spectrum

Video Friday: A World Cup for Robots

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.RSS 2026: 13–17 July 2026, SYDNEYSummer School on Multi-Robot Systems: 29 July–4 August 2026, PRAGUEActuate 2026: 18–19 August 2026, SAN FRANCISCOIROS 2026: 27 September–1 October 2026, PITTSBURGHHumanoids Summit Seoul: 22–23 September 2026, SEOULEnjoy today’s videos! For the first time, two full teams of humanoid robots played an 11-vs-11 soccer match on hardware, bringing one of robotics’ most ambitious long-term visions closer to reality. Never before have two full-sized humanoid robot teams played a soccer game against each other.[ RoboCup ]Engineers at MIT and EPFL in Lausanne, Switzerland, have designed a robot that can swim underwater, and flap out of the water to continue flying through air, much like a diving bird. The robot can help scientists study the mechanics that enable these actions in aquatic aviators and may help launch a new class of aerial-aquatic drones and vehicles.[ MIT ]We’re excited to announce our breakthrough robotic hands for the NEO platform: hands that match or exceed human-level dexterity, strength, safety, and reliability. Designed from the ground up, these 25-DoF hands combine 25 fully actuated degrees of freedom with a tendon-driven system, rich tactile sensing, and built-in compliance. The result is a hand capable of true in-hand manipulation, precision tool use, and delicate interaction.[ 1X ]This match, Tech United played against IRIS at the mid size league at RoboCup 2026 in Incheon South-Korea.[ Tech United ]Atlas arrived pitchside at NYNJ Stadium in front of 80,000 people gathered to see Brazil vs Norway. After performing some of the sport’s most memorable player celebrations, Atlas helped kick-off the second half by delivering the match ball![ Boston Dynamics ]Navigating discrete terrain such as stepping stones remains a major challenge for legged robots. Conventional approaches often rely on dense environment reconstruction from cameras or LiDAR, which can be affected by latency, occlusions, and significant computational overhead. We show that proximity sensors integrated into the bottom of a quadruped’s feet enable safe, terrain-seeking autonomous locomotion.[ Paper ]On this holiday, Digit is on grill duty. It turns out precise force control is good for more than payload handling. Happy 4th of July from all of us at Agility.[ Agility ]We’ve created GEN-1, our latest milestone in scaling robot learning. We believe it to be the first general-purpose AI model that crosses a new performance threshold: mastery of simple physical tasks. It improves average success rates to 99% on tasks where previous models achieve 64%, completes tasks roughly 3x faster than state of the art, and requires only 1 hour of robot data for each of these results. GEN-1 unlocks commercial viability across a broad range of applications—and while it cannot solve all tasks today, it is a significant step towards our mission of creating generalist intelligence for the physical world.[ Generalist ]4 years at Figure.[ Figure ]Reachy Mini is becoming your real AI companion. The Conversation App makes it able to talk fluently with you, help you with your to-do list, remind you of important tasks, and even chat about music. Long-term memory, voice interaction, always ready to help.[ Reachy Mini ]Is this sort of thing now a real job for humanoid robots, then?[ Unitree ]Quite a story, but is it a real job?[ EngineAI ]If you have a cute animal logo for your research I will always share it.[ BIEVR-LIO ]This is very delicate work, although the real challenge would be picking those nuts out of a jumbled bin full of randomly sized nuts, which is how most of us live our lives.[ Sanctuary ]Not for me, thank you, although I’m not saying that most of the other humanoid robots out there are any better looking, fundamentally.[ UBTECH ]Robotics professor, Dr. Christian Hubicki, judges robot soccer skills while knowing very little about soccer himself.[ ORL ]In this presentation, Brendan Schulman, Vice President of Policy at Boston Dynamics, outlines the critical role of government engagement in driving the success of the humanoid robotics industry. He demonstrates how legged robots like the Spot quadruped and Atlas humanoid are moving beyond factory settings to deliver real-world value in infrastructure inspection, industrial manufacturing, and public safety. Schulman highlights the intersection of AI and robotics, showcasing how large behavioral models and reinforcement learning enable robots to navigate slippery floors and autonomously avoid workplace hazards. Ultimately, he calls for a proactive national robotics strategy focused on workforce training, safety standards, and ethical frameworks to support supply chain resilience and global competitiveness.[ Humanoids Summit ]

IEEE Spectrum

Ground Robots Inherit the Kill Zone

Borys Drozhak has a vision: a frontline almost free of humans, patrolled by flying drones and ground robots, and continuously monitored by AI-controlled sensor networks. And it’s not a pipe dream. Ukrainian roboticists have made major strides in that direction over the past four years. Remotely controlled ground vehicles fitted with machine guns and grenade launchers now patrol the no-man’s land straddling the front, part of a robotic legion that has stymied Russia’s territorial ambitions so far this year.Drozhak is a co-founder and CEO of RoverTech, which manufactures the Zmyi, one of Ukraine’s most successful ground robots. Zmyi, Ukrainian for snake, is an 800-kilogram (1,700-pound) rover, 2.15 by 1.5 meters in size, with 75-centimeter diameter wheels. The Zmyi comes in various configurations—for demining, logistics, fighting fires, firing a machine gun, or launching grenades. According to Drozhak, the UGV is a record-breaker among Ukrainian ground robots. It’s engineered to be nearly noiseless and emit as little heat as possible, helping it to elude Russia’s intelligence, surveillance, and reconnaissance (ISR) drones. As a result, a Zmyi rover completes on average 57 missions across the kill zone before being destroyed. The kill zone is the roughly 35-kilometer-wide swath of land that straddles the front line; its width is variable and determined mainly by the growing range of the drones.“Usually, a UGV [uncrewed ground vehicle] on the battlefield lasts about seven missions,” Drozhak says. “The Zmyi is quite a bit bigger and stronger” in comparison with most other UGVs, “and can make it back even if two of its wheels get destroyed.”Drozhak is a software engineer turned roboticist whose story is echoed everywhere in the Ukrainian defense establishment. Before the Russian invasion, he was living a quiet life in Ireland, working for an international software development firm. He returned home shortly after the war began to help defend his homeland. Together with his friend, Vasyl Korenovskyi, who had been a mining engineer, he founded RoverTech with the goal of building robots to perform some of the most dangerous tasks in the war zone. In 2023, they rolled out their first product–the Zmyi de-miner. Earlier this year, one of RoverTech’s assault UGVs was part of a widely reported operation that forced a group of Russian soldiers to surrender without the presence of any Ukrainian troops. Such feats, Drozhak insists, are not rare on Ukrainian battlefields these days.UGVs are the latest chapter in the mil-tech race spurred by the war in Ukraine. Scores of Ukrainian start-ups have developed dozens of different small ground robots, each with typically multiple variants, over the past three years. They’re mostly replacing human-driven tanks and other military vehicles that used to criss-cross the war zone. These remotely controlled robotic vehicles cost a few tens of thousands of dollars apiece compared to millions for a traditional tank, and they can be tweaked and modified in front-line workshops to serve the most urgent needs. Zelenskyy Orders Up 50,000 More UGVsIn April, Ukraine’s President Volodymyr Zelenskyy signed an order for the government to procure 50,000 UGVs for Ukraine’s military forces by the end of 2026. That’s more than three times as many as the government purchased in 2025, and a massive increase from the 2,000 procured in 2024, according to defense analyst Marc C Lange.The rise of UGVs, Lange explains, is a direct response to the war-fighting revolution ushered in by the speedy evolution of unmanned aerial vehicles that came to define the war in Ukraine.As the number of drones zooming above the frontline rose and their range increased, the battle field became completely transparent. Today, anything that enters the kill zone gets hit by a first-person-view (FPV) kamikaze drone within minutes.“Any armored formation, any resupply and logistics vehicle, and any manned formation anywhere near the edge of the battle area has between seconds to a low amount of minutes before it gets turned to dust,” says Lange. “The Ukrainians were losing drivers. Traditional methods of evacuating injured soldiers became impossible. That space is basically unsurvivable.”Ukraine, suffering from a shortage of infantry, has taken that problem more seriously than Russia, which has a larger pool of fresh recruits to draw from. UGVs began ferrying supplies to troops at frontline positions in 2024. Gradually, they took over the complex and risky evacuations of the wounded, using special enclosures to protect the soldier being transported. But this year, Lange says, is “the year of the assault UGV.”Emerging Ukrainian tactics combine UGVs with real-time reconnaissance and surveillance from aerial drones, which discover enemy troops, often under cover of night. The reconnaissance data are then used by remote operators who guide UGVs as they stalk, corner, and shoot to kill. Oleg Fedoryshyn, the head of research and design at DevDroid, another prominent Ukrainian UGV developer, said the ground robots can be controlled from as far as 100 kilometers away using Starlink connectivity, LTE networks, or mesh-networked military radio systems. The UGVs can also carry strike UAVs, serve as communication relays for drones, or carry and launch communication relay drones that further extend the range of the attack vehicles. The UGV can lurk in position for up to one week without needing a battery charge, Fedoroshyn said, and wait for the enemy to move closer.“It’s better than to put people there,” he notes. “A guy with a machine gun is always the first target for the enemy.” The Droid TW 12.7, by DevDroid, is shown here outfitted with a .50-caliber M2 Browning machine gun that can be aimed and fired by a remote operator using a tablet and an encrypted communications link.DevDroidFedoroshyn estimates that UGVs could eventually help cut the number of soldiers needed along the frontline by 30 to 40 percent. Drozhak is even more ambitious. He envisions a future front line that’s entirely automated, relying on sensors and other systems that are only occasionally serviced by humans.A guy with a machine gun is always the first target for the enemy.“Right now, we need a lot of UGVs because there are people on the front line and we need to deliver supplies to them,” he says. “But we can substitute many of them with sensor systems, servicing robots, and UGVs, and then we will not need that many for logistics. At some point, we could have only robots in the kill zone.”Ukraine, with a pre-war population of around 41 million, has lost over 150,000 fighters in the war since 2022, according to estimates by the Center for Strategic and International Studies and others. Hundreds of others have been mutilated or permanently disabled. Even those who return without physical injuries suffer lasting psychological trauma. Drozhak dreams that a future robot army would put an end to the ability of autocratic regimes worldwide to brutalize their neighbors. “There will be no need to push people on the battlefield anymore,” says Drozhak, the RoverTech CEO. “Once we achieve that in Ukraine, any country with a decent economy would be able to defend themselves just with technology.”RoverTech’s Tarantula active-protection system, which uses acoustic and visual sensors combined with AI algorithms to detect approaching killer drones, is the first step in that direction, he declares.“The future battlefield will rely on networks of robotic sensors and autonomous systems that can continuously monitor dangerous areas, provide early warning, and reduce the need for soldiers to expose themselves to direct threats,” he says. “Human operators will remain responsible for critical decisions, but increasingly advanced sensing technologies will help move people away from the most dangerous positions on the battlefield.”Why UGVs Are VulnerableMilitaries around the world were looking at UGVs prior to Russia’s 2022 invasion of Ukraine. But those were quite different, explains Samuel Bendett, a defense analyst at the consultancy CNA. They were larger, more complex, and conceived to operate in smaller numbers. The more compact forms now seen in Ukraine are the result of an evolution that paralleled that of the first-person-view (FPV) attack drones. Both needed to be cheap as they don’t last long and small to be less conspicuous. Now, the West is trying to understand the overall role of UGVs in future warfare. So far, in Bendett’s view, the impact of UGVs on warfare isn’t as profound as that of the FPVs and other aerial drones.“Not every terrain would be applicable to using a UGV,” Bendett explains. “So far, a lot fewer countries are seeking to integrate them into their combat operations than UAVs, which very much democratized the way of enabling short-range to mid-range strikes against adversaries.”UGVs, he points out, are much more susceptible to communication disruptions than UAVs, while being less suitable for autonomous operations and swarming due to the complexity of ground terrain.“With UAVs, communication is much easier,” according to Bendett. “There are no interferences between the ground station and the UAV save the distance, Earth’s curvature and the radio horizon. But on Earth, there’s lots of different obstacles that interfere with radio signals.”Most UGVs rely on Starlink as the first choice for operator control, but even that comes with problems. Starlink signals are easily disrupted by trees and buildings. And Russia, having been cut off from Starlink, is working hard to find ways to jam the system.On top of that, says Lange, as UAV autonomy progresses, UGVs could be left behind. The reason is that UGVs are likely to remain dependent on operator communication links for some time yet, and will therefore be vulnerable to enemy UAVs that can’t be stopped by jamming systems that still provide some protection today.“The low production cost of strike drones will mean that UGVs will have to endure a barrage of strikes,” Lange says, “That might be too much. The question is whether you can make UGVs more survivable on the frontline both in terms of command and control and the actual survivability of that many strikes.”Still, he thinks there’s “no path back from UGVs.” The idea of distributing a whole range of tasks in the past performed by a single large and expensive tank to a fleet of small, cheap UGVs provides more resilience against the omnipresent drones. Moreover, although many international commentators now say that Russia appears to be losing, the war grinds on—and so does the cat-and-mouse game of lethal innovation.

Robotics Research News -- ScienceDaily

Harvard scientists turn a silicon chip into a DNA writing machine

Scientists have created a silicon chip that can write dozens of DNA sequences simultaneously using electricity and water-based enzymes, offering a cleaner alternative to conventional DNA manufacturing. The breakthrough could eventually support portable DNA-writing devices and even massive DNA data storage, although new chemistry will be needed to scale the technology further.

Robotics Research News -- ScienceDaily

Scientists used AI to crack one of water’s biggest mysteries

Water’s odd behavior becomes even more dramatic when it is supercooled, but scientists have struggled to compare the many different ways of describing its microscopic structure. Researchers at the University of Osaka used an AI model trained on computer simulations to evaluate 16 different structural descriptors. The system identified the most effective ways to distinguish between water’s two competing liquid states, providing a clearer framework for studying one of nature’s most mysterious substances.

robotics | TechCrunch

Why this CEO thinks video games make better training data than the internet

When it comes to achieving artificial general intelligence (AGI), large language models just don’t have what it takes. Models like ChatGPT and Claude are great at text, but they’re less skilled at understanding how things actually move through space and time — an essential skill for producing intelligence that generalizes. That gap, it turns out, might be filled by gaming data. That’s the bet behind General Intuition, a […]

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