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Bright Dreams Robotics makes construction robots in China. Here, a tile laying robot went up against an construction worker. The robot took 50 seconds per tile vs the human worker taking 4 minutes. The customer wasn't happy with the 50 second per tile speed. 1/3

Zhao DaShuai 东北进修🇨🇳

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2 columns of white humanoid robots marched through 6 street fires to protest the humans who built them. Arms raised. Perfect step. Fires burning on the asphalt, a car smoldering down the block, and the machines walking straight through it like they’d seen riots before. The crackdown came fast. 4 men in body armor waded into the column with hammers. Plastic shells cracked. White limbs scattered across the wet road. One soldier scooped an armful of robot parts and stuffed them down an open manhole. A detached head slid across the lane. 15 seconds. March to massacre. Here is the part that matters. No robot marched. No soldier swung. Nobody stood on that balcony filming. The clip is AI-generated end to end. The street, the fires, the crackdown - rendered. The shaky vertical phone aesthetic is a style prompt. And that’s the real story. Robots as protest proxies is already a live debate - machines standing in the street so humans don’t take the baton. This video skipped even that step. The protest was synthetic. The violence was synthetic. The witness was synthetic. Every human in the pipeline got replaced before a single robot shipped. Robots don’t need to march against you yet. The video of them marching already does.

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I spent a month in Shenzhen visiting factories and robotics companies, and the contrast with the U.S. was striking. While Figure and Boston Dynamics hide their humanoids behind closed doors, Chinese companies have massive showrooms open to the public. But what really stood out wasn't just the transparency, it was how good they are at selling. Take UBTech: they've already sold 1,200 humanoid units at $200k each to factories. And here's the kicker, these robots aren't even that useful yet. They can only pick up and drop boxes at 1/10th the speed of a human, and factories still need to hire system integrators to train them for specific tasks. My theory is that these factories are terrified of getting left behind in the robotics/AI wave. They're investing in new tech not because it's ready, but because they can't afford to wait. The second surprise was the breadth of their robotics portfolio. These companies aren't just building humanoids, they're deploying service robots everywhere: restaurants, hotels, apartments. Consumer robots are cleaning houses, pools, pet waste, dishes. They're covering the entire spectrum. But the education piece shocked me most. I picked up what I thought was a high school or college robotics textbook, it was for primary school. The government mandated AI and robotics education starting in elementary school. Almost every single school in China now has AI and robotics curriculum, complete with education robots so kids can learn by building. They're creating a generation that grows up fluent in robotics and AI. China owns the supply chain and the hardware stack. But here's what I think people are missing: the race isn't just about who can build robots faster or cheaper. The U.S. advantage has always been in the layer between hardware and human, the interaction design, the software intelligence, the intuitive interfaces that make complex technology feel natural. China is building the physical infrastructure, but they're also learning fast. Every deployed service robot, every classroom full of kids building with education kits, every factory running humanoids, that's all data collection at scale. The window for the U.S. to establish its wedge is narrowing. It's not enough to be better at AI or software anymore. We need to be building the integration layer, the intelligence that makes physical AI actually useful, not just impressive in a showroom. Because right now, China isn't just manufacturing robots. They're manufacturing a robotics-native culture, and that might be the most defensible moat of all.

Miyu Horiuchi

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Teaching robots how to paint! 💅🏼 This painting robot, for example, mimics human movements with precision to handle repetitive, and tiring tasks. A special device memorizes points in 3D space, which are then sent to the robot's control. The result? A robot that, after a single demonstration, can perform a given action. Keep in mind that it's taught as 'fixed'. 👨🏻‍🔧 That is, it will not be able to react to an anomaly or changing environment. But ultimately, with fewer workers available and many avoiding tough, dirty jobs, robots are helping industries stay efficient and safe. ♻️ RT to help 1 robot find a new workplace!

Teaching robots how to paint! 💅🏼 This painting robot, for example, mimics human movements with precision to handle repetitive, and tiring tasks. A special device memorizes points in 3D space, which are then sent to the robot's control. The result? A robot that, after a single demonstration, can perform a given action. Keep in mind that it's taught as 'fixed'. 👨🏻‍🔧 That is, it will not be able to react to an anomaly or changing environment. But ultimately, with fewer workers available and many avoiding tough, dirty jobs, robots are helping industries stay efficient and safe. ♻️ RT to help 1 robot find a new workplace!

Lukas Ziegler

38,319 görüntüleme • 1 yıl önce

The 2nd Robot Marathon has officially begun in Beijing. This year feels different. 1. Around 40% of teams are running fully autonomous, no remote control. 2. Top robots are already hitting ~10s per 100 meter, getting surprisingly close to human sprint limits. 3. You can also see much better safety design upfront. Way more structured than last year’s chaos. 4. Still, failures happen. Marathon distance pushes motors, structure, and control to the limit. What works in short demos breaks down over longer runs. Overall, a big step forward, but also a reminder that real-world robotics is still far from the polished demo videos you get fed from companies.

The 2nd Robot Marathon has officially begun in Beijing. This year feels different. 1. Around 40% of teams are running fully autonomous, no remote control. 2. Top robots are already hitting ~10s per 100 meter, getting surprisingly close to human sprint limits. 3. You can also see much better safety design upfront. Way more structured than last year’s chaos. 4. Still, failures happen. Marathon distance pushes motors, structure, and control to the limit. What works in short demos breaks down over longer runs. Overall, a big step forward, but also a reminder that real-world robotics is still far from the polished demo videos you get fed from companies.

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