ROBOCREW

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ROBOCREW

ROBOCREW

@robocrewx

China robotics and AI hardware insider. AI hardware. Robotics. Training data. Business Intelligence. Founded by engineers from FANUC, Unitree and @XPengMotors

Singapore Katılım Eylül 2024
118 Takip Edilen599 Takipçiler
ROBOCREW
ROBOCREW@robocrewx·
The business model is two-layered: → Generic atomic skills (open doors, grasp, deliver, navigate) get open-sourced to build ecosystem → Vertical data packages (logistics depalletizing, automotive assembly, SMT handling) get sold to enterprises for real money Three types of buyers are converging: manufacturers who need robots working NOW in their factories, foundation model companies hungry for multi-modal training data, and universities running benchmarks. The companies building real-robot data moats right now will define who wins the humanoid race. Not the ones making viral clips. Watch the data. That's where the real power is.
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ROBOCREW
ROBOCREW@robocrewx·
Here's the problem: all open-source humanoid datasets globally are still in the tens-of-thousands of hours. For large-model training, that's basically zero. That's why insiders are calling 2025 "Year Zero" for robotics data scaling. What most people are missing: China now has 14 dedicated humanoid robot training facilities producing 25M real-robot data entries/year 60,000+ minutes of data have been open-sourced, broken into 117 reusable atomic skills 20,000 hours of commercial data already delivered to enterprise buyers A national-level open-source data community just launched — backed by the state, not any single company Real-robot data is being issued IP certificates and asset insurance. It's moving from gray-area byproduct to financeable asset on balance sheets
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ROBOCREW@robocrewx·
Everyone's obsessing over humanoid robot hardware. Walking, dancing, backflips — all solved. But here's what I'm seeing on the ground in China that nobody outside is talking about: the real bottleneck is data. And the race to own it is quietly reshaping the entire industry.
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ROBOCREW
ROBOCREW@robocrewx·
The winners in this space won't be the ones with the best tricks on camera. They'll be the ones who make the unit economics work across real verticals. Follow along — we're tracking the robotics industry from both sides of the Pacific. 🤖
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ROBOCREW
ROBOCREW@robocrewx·
🔌 More Platform-Oriented The smartest companies are building a universal chassis + toolchain and letting integrators build vertical solutions on top. Power companies build inspection packages. Security firms build patrol networks. Think smartphones going from brands building their own apps → open ecosystems. One company already producing 30,000 joint modules/month with sub-2% failure rate.
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ROBOCREW
ROBOCREW@robocrewx·
The viral robot dog videos are impressive — but they don't tell the real story. a deep-dive breaking down where quadruped robots are actually headed in the next 1–2 years. The industry is shifting from flashy demos to real deployment. 4 key directions: → More Industrial — purpose-built tools for power grid inspection, security, firefighting → More All-Terrain — stairs, rubble, extreme weather, not just flat surfaces → More Intelligent — from RL-based locomotion to natural language task assignment → More Platform-Oriented — one chassis, infinite use cases (think: smartphone app stores) The companies that win won't be the ones making the coolest tricks. They'll be the ones where the unit economics work. Swipe for the full breakdown ↗️
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Ryan Chan
Ryan Chan@Ryan_Resolution·
MakerMods Hackathon Day 1 Recap
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Andrew Kang
Andrew Kang@Rewkang·
Researchers trained a humanoid robot to play tennis using only 5 hours of motion capture data The robot can now sustain multi-shot rallies with human players, hitting balls traveling >15 m/s with a ~90% success rate AlphaGo for every sport is coming
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Wedge Technologies
Wedge Technologies@WedgeTech·
We built a cognitive application for humanoid robots. Not just what they're doing — why. PRISM shows you the full AI automated reasoning chain in real time: every decision, every rejected branch, every confidence score. Before the robot moves, you see the thought.
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ROBOCREW@robocrewx·
world's largest robot TITAN
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CIX 🦾
CIX 🦾@cixliv·
We having fun with our new robot boi. He got gas in moves. Who's ready to see him fight?
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Jack 🤖
Jack 🤖@JacklouisP·
Even this list is missing a 10+ humanoids. Can you guess which?
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The Humanoid Hub
The Humanoid Hub@TheHumanoidHub·
When I visited them about a year ago, they were a team of just four - the four founders, who built the first working prototype in only four months. x.com/TheHumanoidHub…
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The Humanoid Hub@TheHumanoidHub

I had a great time visiting UCR’s lab in Santa Clara, where I met the four co-founders and their impressive bipedal robot, Moby. This is the kind of startup story you love to hear—just four people building a functional robot in under four months, working out of a small office. That’s no small feat. Before they assembled the robot, they had to assemble their own office furniture. Talk about a true startup grind. I saw Moby walk omnidirectionally, climb a ramp, and even withstand a kick test, all without relying on cameras. I got to operate Moby with a controller, which was a lot of fun. Pretty soon, Moby will have vision sensors and dual arms with manipulators. In the video, you can spot the next-gen prototype resting on the table. The robot’s sturdy design fits right into UCR’s vision: building humanoids that can take on dangerous, high-value jobs in industries like construction, mining, and energy—all while keeping costs low. The founders bring deep expertise, with backgrounds at companies like Apple and SpaceX, and skills spanning electro-mechanical engineering, bipedal locomotion, and AI. UCR (Under Control Robotics) is definitely a company to watch—they have big ambitions and a strong foundation to back them up. Big thanks, @UCR_robotics, for the inside look!

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ROBOCREW
ROBOCREW@robocrewx·
The techno-economic diffusion framework mapping how transformative technologies propagate across industries and geographies over an 80-year paradigm cycle.
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