Joined July 2023
- Tweets 7,423
- Following 995
- Followers 109,920
- Likes 18,678
3,458 Photos and videos
Some amazing meetings and conversations in Hong Kong ✅
Next stop: Shenzhen!
@broodsugar @RAYBEAZY @Apheth_DAlmeida @Linyan_Fu @homebrewrobots @Auki
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Welcome to China, @TheHumanoidHub
Starting next week, I’ll be taking you inside some of China’s top robotics companies.
This is going to be a lot of fun haha
Jun 11
I'll be on the ground in China for the next 17 days to get a firsthand look at the industrial explosion in humanoid robotics.
The plan is to visit Hong Kong, Shenzhen, Zhejiang, Hangzhou, Shanghai, and Beijing.
If you're building humanoids or embodied AI and would like to meet, I'd love to. DMs are open.
Landed in Hong Kong yesterday; it's beautiful.
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Jun 11
I'll be on the ground in China for the next 17 days to get a firsthand look at the industrial explosion in humanoid robotics.
The plan is to visit Hong Kong, Shenzhen, Zhejiang, Hangzhou, Shanghai, and Beijing.
If you're building humanoids or embodied AI and would like to meet, I'd love to. DMs are open.
Landed in Hong Kong yesterday; it's beautiful.
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Figure has now cumulatively produced more than 660 humanoid robots. It's still very early in the S-curve, but the real-world data flywheel has truly been activated.
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The Humanoid Hub retweeted
Jun 9
China installed 9x more industrial robots than the US last year.
But an American comeback is quietly underway.
This startup could produce 10% of all new industrial robots in the US next year.
Today, it raised $200M at a $1B valuation.
Why this is a big deal... 🧵
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This cute little camera robot would also make a great companion.
Beni by Mondo Robotics
Weighs 3.8 lbs (1.7 kg), has a 1.5-hour runtime and a swappable battery. It can track people and capture action videos on the move.
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TARS has made some big announcements at ICRA 2026.
DexHand
- A dexterous hand with 1:1 replication of human metacarpal and finger structure, multi-axis thumb opposition
- Quasi-direct-drive backdrivable joints, 21 degrees of freedom
- All 26 ASL letter signs reproduced at high precision
-0.05mm fingertip tactile sensing
- Data. Model. Hand. Fused into one embodied AI-native dexterous hand.
OmniVTA with TacForeSight
A visuo-tactile world model for general-use, paired with TacForeSight, a force-guided technology that not only allows robots to understand contact but also enables them to predict contact before it happens.
- Semantic touch ("slippery," "rough," "soft," "hard") enabling texture-based material cognition.
- Operates inside a real-time closed loop
- Contact state prediction and reaction at the microsecond scale, faster than human
AWE 3.0
- Claimed to be the world's leading general-purpose embodied foundation model for real-world work
- A1 robot packing demo as the showcase: long-horizon, bimanual, with autonomous error recovery and end-to-end imitation learning
- Set a Guinness World Record in March 2026 for "Most sub-millimeter wire harness assembled by a robot in one hour"
- SenseHub data acquisition suite captures human experience data to train AWE 3.0
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Long-horizon humanoid loco-manipulation has typically relied on retargeting human motion capture data to the robot. This requires human demonstrations for every new scenario and often forces the robot into human-like movement patterns.
MotionDisco framework takes a different approach with no human motion data or retargeting. An LLM-guided evolutionary search proposes contact plans, which a kinodynamic optimizer then evaluates.
The optimizer returns feedback that guides the next proposals. The resulting trajectories are used to train an RL policy, which is deployed zero-shot on a real humanoid robot.
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Generalist AI has raised a $400M funding round at a ~$2B valuation, bringing the total amount raised since its founding to over $500M .
Led by Radical Ventures, with new participation from 8VC, Union Square Ventures, Hanabi Capital, and Norwest. Existing backers NVIDIA's NVentures, Boldstart, Spark, Bezos Expeditions, and NFDG followed on. Notable angel additions: Fei-Fei Li, Naval Ravikant, and Xiaomi co-founder Bin Lin.
Founded by alumni of OpenAI, Google DeepMind, and Boston Dynamics, the team is building foundation models that span humanoids, robot arms, mobile warehouse robots, and autonomous space systems.
GEN-1 (April 2026) hit 99% reliability on diverse tasks and 3x faster execution than prior models. The new funding will help scale models, the data engine, compute, and commercial deployments..
GEN-1 model in action, fully autonomous:
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Humanoids will have superhuman reaction time.
ProHand by Proception
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Boston Dynamics taught Atlas a Rabona kick.
Learned from human mocap, retargeted to Atlas, trained in sim via RL, deployed zero-shot to the real robot.
Soccer skills demand whole-body coordination, and similar recipe transfers to warehouse work.
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Human motion capture -> Re-targeting -> RL
-> Robot demo goes viral
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1X has hired Samarth Sinha to lead its new World Models research group. Samarth was previously a founding researcher at Luma AI, scaling large multimodal models.
The mandate: build the next generation of foundation world models for NEO humanoid, trained on large-scale, highly-dexterous, on-policy robot data, not just web video with a thin fine-tune layer of demos on top.
The principle, in Sinha's words: "You need to see your most important tokens from step zero." Force, proprioception, and contact have to be in pretraining from the start. That's only possible once you have robots in the world generating that data. That's the vision driving 1X's push to manufacture and ship NEO at scale.
Jun 4
I am SO excited to be sharing that I am joining @BerntBornich and @1x_tech to lead the new 1X World Model Lab aimed at building the next frontier of embodied AI! The core guiding principle of the lab is: scale up along every damn axis!! 🚀
Robotics data is NOT a second-class citizen - it is too important of a problem to be left to fine tuning! Your model needs to see your most important tokens from step 0
We need to think about robotics through the first principles of AI: how do we best utilize the vast amounts of web-scale media and how do we create a data-flywheel to collect millions of hours of rich robot interactions. There is no other moat in AI outside of data and @1x_tech has done an INCREDIBLE job scaling manufacturing, production and hardware to build humanoid robots that can create a unique data-flywheel in unstructured environments. Scaling data collection for highly dexterous on-policy robot data will be the only way for creating a moat in AI. @JackMonas and team have made great progress in building World Models, and now the goal is to supercharge this effort by starting a hyper-focused scale and data-pilled lab.
Before scaling compute / data / models, we are currently RAPIDLY scaling our team and hiring across the 4 core pillars of AI: model data, data infra, ML infra and evals. Looking for folks that are excited about the 0->1 problem and share the same principles as us. There’s a single application for everyone in the lab - if you’re a good at engineering and ML, we will find a place for you in the team ❤️
AGI won’t be solved by fine-tuning… Let’s build the next frontier of AI together 🚀
My DMs are always open!!
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Last week, BYD Executive VP Stella Li said that BYD is "developing humanoid robots."
The headline: BYD plans to sell them through its global auto dealer network if they reach homes.
- Initial deployment: overseas dealerships, especially European vehicle stores, for demos, greetings, and multilingual sales support
- Open platform, hosting BYD's own robots and partner-made ones, not a walled garden
- BYD expects to be one of the biggest buyers of humanoids itself
- Stella Li: "Chinese robots lack a developed brain, US robots face underdeveloped limbs." BYD wants to bridge both
Foundations have been laid since late 2024: UBTech's Walker S1 already in BYD factories, stakes in UBTech and AGIBOT, plus Wang Chuanfu's 100B yuan ($14B) AI autonomy commitment.
What's new is the channel. BYD is positioning its automotive retail network as the consumer humanoid sales channel.
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China rolled out a national digital ID system for humanoid robots in late May. The stated rationale is liability and traceability.
- Mandatory 29-digit code assigned to each humanoid: 2-digit country, 4-digit manufacturer, 6-digit product model, 17-digit serial
- Tracks the full dossier: hardware specs, intelligence level, training history, maintenance log, deployment, joint and battery wear, recycling
- 28,000 codes already issued across 100 companies, likely including forward-allocated IDs.
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DR02 humanoid from DEEP Robotics.
Showing off upgraded payload capacity and dynamic locomotion.
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Startup founders and top leadership who bypass traditional gatekeepers and PR agencies have a major advantage.
"Marketing is too important to be left to the marketing department." - David Packard
Jun 3
Just crossed 500,000 followers
Four years ago I wasn’t posting online. Most of this audience has been built over the last couple of years, and building my companies in public has been incredibly valuable
I originally started posting to help with hiring, but it’s created many other opportunities along the way as well
Thanks for all the support 🖤
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Ouch, hope that kid is ok!!
Operator is at fault here, but every robot operated around people needs an active safety layer too.
Like Automatic Emergency Braking and lane-keep assist in cars: perceptive intelligence that can override the operator's commands for safety.
Jun 2
Robot Landed a Brutal Kick on Child’s Stomach, Leaving Him Curled Up on the Ground.
Operators fault or parents negligence?
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