RoboHub🤖
@XRoboHub • 21,653 subscribers
@XRoboHub | Global AI × Robotics Hub 🚀 🤖 Focused on AI × Humanoids 🌍 Tracking robotics worldwide 📱 Unified ID | 500K+ followers 📩 [email protected]
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See a humanoid crash, break apart, or even catch fire at the Games and think it’s done? Not even close. Take a look inside the repair area. Robots come in one after another: damaged joint modules come off, replacements go in, software gets flashed, comms and motion-control checks go green, and they’re ready to race again. One engineer told me a robot that had a joint failure and caught fire was repaired, sent back into competition the next day, and won gold. That’s the part you don’t see in the viral crash clips. These robots aren’t one-and-done machines. They break. They get fixed. Then they go right back on the track.
RoboHub🤖73,374 views • 6 days ago
If you saw DaxAI’s giant robot horse in person, you’d be blown away by how massive it is. The Qiji is officially on sale now: RMB 289K (~$43K) for the X1 and RMB 359K (~$53K) for the wheel-legged XS. A rideable robot horse is already wild. The fact that you can actually buy one now makes it even crazier.
RoboHub🤖118,659 views • 13 days ago
The 400 m was even crazier... 🤯 TianGong (Tien Kung) took the win in 38.15 seconds, leaving Honor’s three Lightning humanoids far behind. A little payback for the robot marathon too. And these races are fully autonomous now. Once they’re on the track, it’s completely up to the robots.
RoboHub🤖65,949 views • 8 days ago
X Square just beat Figure’s package-sorting pace by ~45%—without a humanoid. In a 1-hour autonomous livestream, two WALL-B-powered 6-axis arms handled 1,816 mixed parcels at 98%+ accuracy. Figure’s 200-hour humanoid run averaged 1,248/hour. That’s 1.98 seconds per parcel vs. 2.88 seconds for Figure. Nearly a full second faster on every package. China processed nearly 199B express parcels in 2025. At that scale, every fraction of a second adds up. Figure is betting on the general-purpose humanoid: one body, eventually many jobs. X Square builds humanoids too, but went pragmatic here—pairing WALL-B with purpose-built arms and grippers for a faster, simpler, more economical logistics system. RobotEra made a similar choice. Its M7 at China Post skips the legs too, using an upper-body humanoid at the sorting line. This is one big difference I keep seeing between U.S. and Chinese robotics: U.S. teams like Figure are making a massive bet on the universal humanoid. Chinese teams are often more willing to change the body if it makes the economics work today. Back in June, I called logistics sorting the right first job for humanoids. X Square is making me rethink the “humanoid” part. If the job doesn’t need legs—or five fingers—why pay for them?
RoboHub🤖85,969 views • 19 days ago
TienKung Ultra finished the full 21.0975 km in 1:15:00 — fully autonomous, zero human intervention. 🤖 No repeat win this time. But it was easily one of the most striking robots on the course — clean gait, stable motion, and the most human-like running form out there. It took home the “Best Design” award, and that actually says more than the podium this time. Because this isn’t a marathon-only build. TienKung Ultra is a general-purpose humanoid, already moving toward real-world deployment. And it didn’t show up alone. Teams from Peking University, Fudan, HUST, BIT, Beihang, HKUST(GZ), TUM and more were all building on the same TienKung platform. That’s what an open ecosystem looks like — shared hardware, shared stack, different solutions on top. And just a day before, it took the Robot Warrior Challenge — fully autonomous through obstacle tasks modeled on real-world rescue and hazardous operations. That’s the part that matters. This is no longer just about speed. It’s about autonomy — and whether these systems can actually handle real environments. That’s what future winners are going to look like.
RoboHub🤖224,991 views • 4 months ago
Sub-1 hour? Chasing the human half-marathon record? That’s suddenly the conversation around Beijing’s humanoid robot race this Sunday. 🏃♂️🤖 A year ago, this event was mostly about finishing. Now the bar is speed, stability, and full-course autonomy. More than 100 teams and 300+ humanoid robots are expected on the line, and nearly 40% of them are entering the autonomous navigation group instead of relying on remote control. The course is not getting easier either. Same 21.0975 km, but with more urban slopes, rolling sections, and park terrain built to expose weak points in control, perception, and endurance. That is what makes this race worth watching. If some of these machines really get close to one hour, the story is no longer “robots can run.” It becomes “humanoids are starting to hold speed, balance, and navigation together over real distance.” And that matters far beyond a race course. This is one of the clearest public tests yet for where humanoid robotics actually stands in hardware, motion control, power systems, and autonomous mobility. Sunday’s headline will be the time. The bigger takeaway will be how much of that pace is still there at kilometer 15, 18, and 21. I want to see who is actually fast, who is truly autonomous, and who can finish without falling apart. That is where the real signal will be.
RoboHub🤖209,946 views • 4 months ago
Direct Drive Tech has officially launched the D1, calling it the world's first fully modular embodied intelligence robot. Built on a system-level co-architecture and designed for "swarm collaboration," the D1 is presented as a solution for addressing general embodied intelligence challenges across various applications. The D1's key selling point is its "All-Domain Splicing" capability, which allows it to combine in multiple modes (wheel-leg to wheel-leg, leg-to-leg, wheel-leg to leg) to build a flexible motion system. It achieves high performance, supporting a maximum load of 100 kg in four-wheel crawl mode and 80 kg in standing mode. Furthermore, the D1 boasts enhanced endurance, with a tested empty-load range of over 25 km and a runtime exceeding 5 hours in dual wheel-leg mode. This extended battery life aims to reduce charging frequency and increase efficiency in applications like outdoor inspection, materials transfer, and scene services.
RoboHub🤖439,687 views • 10 months ago
A Breakthrough in Robotics: Spherical Gears Enter Mass Production Spherical gears, the kind of joint that would allow a robot to move like a human shoulder, have been notoriously difficult to manufacture with high precision. That's changing, thanks to a new design and a path to mass production that could have a huge impact on robotics. The breakthrough comes from a new design called the ABENICS spherical gear, developed by researchers at Yamagata University. This innovative mechanism enables a joint to move in three degrees of freedom without the slippage issues of earlier designs. It achieves this by using a "cross-spherical gear" that meshes with one or more "monopole gears." Mass production is now on the horizon. Although the initial manufacturing of the gears was inefficient, Nissei Corporation improved the process and established the necessary technology. The companies Kanematsu and Nissei have now entered the marketing phase, with production expected to begin in 2027. The impact of this technology is significant. Mass-produced spherical gears are expected to enable highly versatile and efficient robotic limbs. ► Humanoid and Mobile Robots: The design allows for compact, high-torque ball joints ideal for creating versatile and efficient robotic limbs. ► Aerospace: Potential applications include deployment mechanisms for satellite solar panels. ► Other Industries: The technology is also being explored for its potential to enhance productivity in healthcare, nursing care, and restaurants.
RoboHub🤖384,888 views • 11 months ago
AheadForm just raised a new A1 round worth hundreds of millions of RMB (~tens of millions USD) 🤖 That matters because this is not another humanoid company chasing locomotion first. AheadForm is building around the part most robotics startups still underestimate: face, emotion, and real-time human connection. The new funding will go into multimodal embodied interaction, emotion foundation models, facial hardware and materials, standardized delivery, and global expansion. Founded in June 2024, the company is still young, but the founder’s research trail is not. Yuhang Hu, a Columbia PhD and AheadForm’s CEO/CTO, has published work spanning facial coexpression, realistic lip motion for humanoid face robots, and self-supervised robot self-modeling. That is the deeper signal here. In a market crowded with hands, arms, and walking demos, investors are now putting serious money behind embodied AI that can express, respond, and hold attention face to face. And the company is moving fast. According to public reports, AheadForm has completed five funding rounds since the second half of 2025, while its robots have already broken out of lab-only visibility through public activations like the NetEase Justice mobile game collaboration and large robot-stage appearances. If humanoid robotics is about physical labor, AheadForm is making the case that the next layer is emotional presence. That may end up being one of the more important categories in embodied AI.
RoboHub🤖155,548 views • 4 months ago
Dax Robotics just unveiled Qiji T1000 — a ton-class robot horse built to carry 1,000 kg / 2,205 lb. 🐎🤖 Dax calls it the world’s first ton-class heavy-load robot horse. The other number is the one that really got me: over 2,000 N·m of joint torque. That is not the usual “robot dog with a backpack” category. Qiji T1000 is being positioned for heavy-load field work: security patrols, emergency rescue, construction sites, industrial logistics. The reported terrain list is exactly where wheels struggle: snow, ice, steep slopes, mountain paths, broken ground. And the use cases are not cute. Carrying supplies on high-altitude patrol routes. Moving rescue gear into fire-risk zones. Hauling steel, cement, tools, and equipment where large vehicles can’t reach. Dax also says the system can run for 1-2 days with its high-voltage power setup. The key point is simple: This is not about making quadrupeds more entertaining. It is about pushing legged robots into real heavy-duty labor — where payload, torque, terrain, and endurance actually matter. Qiji T1000 is a machine horse in the most literal sense. Built less to perform. Built more to carry.
RoboHub🤖120,983 views • 4 months ago
EngineAI’s 10,000-unit humanoid production line is now live, with the first T800 units rolling off the line 🤖 The Shenzhen Honghualing base is built around full-stack in-house R&D, integrated manufacturing, quality control, and delivery. According to the company’s video, the upgraded line boosts production efficiency by 40%, runs 79 full-dimensional quality checks, and simulates 46 working conditions. The key number: one humanoid robot completed every 15 minutes. T800 is moving from viral demo hardware to a real manufacturing test case for humanoid scale-up.
RoboHub🤖100,280 views • 3 months ago
Not every robot needs a humanlike head. 🇰🇷🤖 South Korea’s XYZ unveiled DEUX, a dual-arm semi-humanoid built for everyday spaces. DEUX pairs two 7-DoF arms with two 7-DoF three-finger hands, a swerve-drive base, and an 11 kg dual-arm payload. XYZ already builds robot baristas and indoor delivery robots. Its Physical AI pipeline runs from Glove X data collection to model training, robot deployment, and real-world validation. Keep the arms and mobility. Skip the anatomy you don’t need.
RoboHub🤖40,268 views • 1 month ago
Let the robot take the risky climb. 🧗♂️🤖 RobotPlusPlus just introduced a humanoid special-operation robot for high-risk industrial sites, built on a wheeled magnetic-adhesion base that can lock onto steel walls while it works. Dual arms, swappable tools, one platform: welding, flaw detection, rust removal, grinding, spraying. That is exactly the kind of machine you want in petrochemical plants, shipyards, and energy sites — places where the job still needs to get done, but humans should not have to hang off the wall to do it.
RoboHub🤖96,195 views • 3 months ago