RoboHub🤖
@XRoboHub • 18,876 subscribers
@XRoboHub | Global AI × Robotics Hub 🚀 🤖 Focused on AI × Humanoids 🌍 Tracking robotics worldwide 📱 Unified ID | 500K+ followers 📩 [email protected]
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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🤖88,143 次观看 • 12 天前
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🤖224,005 次观看 • 1 个月前
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🤖95,071 次观看 • 22 天前
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🤖208,823 次观看 • 1 个月前
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 次观看 • 1 个月前
A humanoid robot is now climbing vertical industrial tanks to weld, grind, inspect, and remove rust. 🧲🤖 This is RobotPlusPlus’ embodied-intelligence wall-climbing robot, now deployed in high-risk scenes across chemical plants, shipyards, and energy facilities. The upper body uses dual humanoid arms. The lower body uses a wheeled magnetic-adhesion chassis that lets the robot work on steel walls instead of flat factory floors. The reported specs are industrial, not demo-stage: 90 kg body weight, 15 degrees of freedom, 12 active arm joints, millisecond-level remote response, and tethered power for long-duration operation. The real advantage is tool switching. Swap the end effectors, and the same platform can move between welding, grinding, flaw detection, rust removal, spraying, and surface treatment. For operators, the workflow changes from climbing scaffolds or hanging in baskets to controlling the robot through a remote interface and VR glasses. RobotPlusPlus says its special-operation model has learned from 100,000+ hours of field work, 22,500 km of operating distance, and 5,000 km² of covered work area. This is where embodied AI starts to look useful: not dancing onstage, but taking tools into places humans should not have to enter.
RoboHub🤖78,887 次观看 • 23 天前
Xynova just launched Flex 2, its second-gen hybrid dexterous hand — and Xiaomi is already on the cap table. 🤖✋ The spec sheet is sharp: 23 DOF, 400g palm, ±0.1mm repeatability, 0.05N force control, 12kg single-hand grasp load, and multimodal sensing for adaptive grasping and slip detection. Xynova is not only building a robotic hand. It is building the manipulation stack around it: micro linear actuators, joint modules, sensing, control, and developer-facing integration. The Xiaomi link is confirmed. Xiaomi Strategic Investment joined Xynova’s angel round and continued adding in the Pre-A round. What is not confirmed: whether Xiaomi’s own robot hand uses Xynova’s technology. That detail still has no public proof. But the direction is clear: Xiaomi is putting money into the component layer that decides whether humanoids can actually handle objects, tools, and daily tasks. This is the part of robotics that rarely looks flashy on stage. But it decides what a robot can really do with its hands.
RoboHub🤖64,757 次观看 • 21 天前
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🤖148,317 次观看 • 1 个月前
11 m/s? Bolt, why didn’t you run the Beijing humanoid robot marathon? 🤖🏃♂️ MirrorMe just posted a new video of its full-size humanoid robot Bolt hitting 11 m/s indoors. In outdoor 100-meter testing, Bolt has also pushed to 10 m/s. That number says everything. Back in February, MirrorMe introduced Bolt as a speed-first humanoid: 177 cm tall, 75 kg, built around a 10 m/s peak-speed target. For a humanoid robot, this is not fast walking. This is sprint territory. MirrorMe has been chasing robot speed since 2016. From Black Panther II to Bolt, the direction is clear: push robotic locomotion closer to elite human athletic performance. Now Bolt has moved from a 10 m/s debut to an indoor 11 m/s run. So I only have one question: Why wasn’t this robot on the Beijing humanoid robot marathon track?
RoboHub🤖92,336 次观看 • 1 个月前
Robot dogs may be the most underrated robot form factor right now: familiar enough to enter human spaces, useful enough to earn their keep. 🐕 The obvious jobs are industrial inspection, fire-scene scouting, search and rescue, last-mile delivery, security patrols, farm monitoring, and basic home support. Autonomous navigation solves a big part of the “how does it move around without a pilot?” problem. The body solves the rest: legs handle stairs, rubble, mud, grass, and tight indoor spaces; wheel-legged designs add speed on flat ground without giving up rough-terrain mobility. That is the real appeal — not a robot pretending to be a pet, but a mobile tool that can go where people go, and take the risky, repetitive, or boring jobs first.
RoboHub🤖65,086 次观看 • 28 天前
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🤖433,442 次观看 • 7 个月前
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🤖384,487 次观看 • 8 个月前
The future of home cleaning just landed in Shenzhen and it is walking right into your living room. 🤖🏠 X Square Robot and officially launched China’s first robot home service, moving embodied AI from the lab to your front door. When you book a cleaning on the app, a professional cleaner now shows up with an X Square robot partner to tag team the house. The human handles the tricky stuff that needs real judgment while the robot takes over repetitive tasks like wiping tables and tidying up surfaces. X Square is using an end to end foundation model which means the robot actually perceives and plans its own moves instead of just following a script. By testing in the messy reality of a real home, they are proving that if a robot can master a living room, it can handle almost any physical space. This pilot is part of a massive push to turn these machines into reliable partners that can actually assist in our daily lives.
RoboHub🤖101,350 次观看 • 2 个月前
Ran 21 km (13.1 miles) — and the motor was still cold. That’s the detail that matters. 🤖 Honor was the clear dark horse in this year’s robot half marathon. They swept 1st, 2nd, and 3rd, and also posted a strong top-6 finish overall. What stands out to me is that this was not just about bigger motors, or a gait tuned for long-distance running. They seem to have solved something more important — cooling. In a post-race interview, Honor engineers said the robot used liquid-cooling tech adapted from Honor smartphones, with cooling lines running deep into the motor system to carry heat away. Some reports added more detail: the setup used two high-speed micro pumps, with flow rates reaching up to 6 liters per minute, giving the system enough cooling capacity to handle sustained lower-joint motor load. That matters because once a robot starts overheating, output drops, stability goes with it, and the whole run can fall apart fast. And that’s exactly why this detail is interesting. Of course, that does not mean Honor has already surpassed teams like TienKung or Unitree across humanoid robotics as a whole. What it does suggest is that for the marathon task, they built a very strong system solution. And honestly, that alone is already a useful case for the industry. The bigger trend is moving fast. Last year, TienKung won in around 2 hours 40 minutes. This year, the winning time dropped to 50 minutes 26 seconds. Last year, most robots were still fully remote-controlled or only semi-autonomous. This year, around 40% were running with a much higher level of autonomy. So to me, the real signal is not just that robots got faster. It’s that the field is now moving past raw speed, and into the harder problems: autonomy, stability, and system reliability under load. If the pace of progress stays anywhere close to this, then next year’s race should be even more worth watching.
RoboHub🤖60,151 次观看 • 1 个月前