Robotin Network

The CornerStone Of Physical AI & Embodied Intelligence.

[Robotin Network @robotin_network]

4️⃣ Enter Robotin Network 🌐
We are building the decentralized data infrastructure for Embodied AI. Instead of closed-door labs, we empower a global community to source real-world household spatial data. We are bridging the gap between physical reality and AI perception.

[Robotin Network @robotin_network]

VLA models are driving embodied AI in 2026. But they're hitting the same wall LLMs already cleared: data scarcity. Text was everywhere. Structured scene data from real homes isn't. A million hours of video still not enough for physical AI. #EmbodiedAI

[Robotin Network @robotin_network]

Seen some interesting ideas around trading home services for real world data. Creative. But when the data is coming from inside someone's home, we think people should get to decide what they share.
Our mission is to give them the tools to do that. #DePIN #EmbodiedAI #DataPrivacy

[Robotin Network @robotin_network]

Billions are going into real-world training data for embodied AI right now. The infrastructure is getting built. What's less settled is how the data actually gets collected at scale.

That's what we're working on. #EmbodiedAI #Robotics

[Robotin Network @robotin_network]

Building our first hardware demo — a head-mounted capture device for household task data collection. Getting the form factor right matters when someone has to wear it while doing chores for hours. Still iterating. #DePIN #EmbodiedAI

[Robotin Network @robotin_network]

A $2.6B robotics company live-streamed "autonomous" robots for 200 hours. Viewers spotted teleoperation. Staged demos and real autonomy are not the same thing, and real homes have a way of making that obvious. #DePIN #EmbodiedAI

[Bitcoin.com News @BitcoinNews]

Two regulators: SEC vs CFTC. One crypto industry. Endless confusion.

SEC → capital CFTC → risk

That’s the simplest explanation you’ll hear today.

@MichaelSelig breaks it down at @TheBitcoinConf Las Vegas 2026 with @_dsencil 👇

https://t.co/osoWj9SO1y

[Robotin Network @robotin_network]

Shipped a new pipeline this week for household task video capture and upload — from device to storage, end to end. Took longer than expected to get the edge cases right, but the plumbing is done. Data starts flowing properly from here. #DePIN #EmbodiedAI

[Robotin Network @robotin_network]

@BostonDynamics 😂I would rather Atlas brought me a drink. This requires more household data.

https://t.co/On5JMb7mKb

[Robotin Network @robotin_network]

Another new embodied AI model just made 3D spatial perception core to their embodied AI stack. Robots that read rooms, not just see them. The hard part is training data — real homes don't look like lab setups. That's the gap DePIN was made for. #DePIN #EmbodiedAI

[Robotin Network @robotin_network]

Watching Figure crush this sorting line is wild! 🔥

But the real final boss is the home. To get bots working in our messy living rooms, they need real, chaotic data. That's exactly the gap Robotin Network is solving.
Visit https://t.co/On5JMb7mKb #Depin #EmbodiedAI #Figure

[Figure @Figure_robot]

Watch a team of humanoid robots running a full 8-hr shift at human performance levels. This is fully autonomous running Helix-02 https://t.co/bIgpYuaYCj

[Robotin Network @robotin_network]

Our data pipeline just hit v3 — cleaner ingestion, fewer manual corrections, faster turnaround from capture to training-ready. Each iteration shrinks the gap between raw home-scene data and what embodied AI models actually need. #DePIN #EmbodiedAI

[Robotin Network @robotin_network]

@Figure_robot this is crazy

[Robotin Network @robotin_network]

Stanford’s 2026 data exposed robotics' biggest bottleneck: 89% sim success, but a brutal 12% in real homes.

You can't fully fake real-world chaos. Synthetic data won't bridge the gap. We need data from real, messy homes.

Enter #DePIN. #EmbodiedAI

[Robotin Network @robotin_network]

Updated our quality scoring model. Catches more of the obvious problems now — blur, wrong angles, irrelevant clips.

Less junk in the dataset means training runs that actually generalize. We'll probably need to update it again in a few months.

#DePIN #EmbodiedAI

[Robotin Network @robotin_network]

Added more scene types to our internal benchmark — different angles, lighting conditions, object arrangements.

Robots fail in the real world because test data doesn't look like the real world. More coverage in benchmarks means fewer surprises at deployment.

#DePIN #EmbodiedAI

[Robotin Network @robotin_network]

@CyberRobooo Industrial robots are getting good. Household robots are next — and the gap between them is mostly a data problem.
We're building a network to fix that. Real homes, real mess, real data.
→https://t.co/On5JMb7mKb

[Robotin Network @robotin_network]

The market just voted with capital.
Embodied AI is shifting from lab demos to real-world deployment.
But the real bottleneck is data from real physical spaces.
DePIN's third wave will be about who can gather what robots actually need.
#DePIN #EmbodiedAI

[Robotin Network @robotin_network]

The future of robotics data
is distributed.

Thousands of homes.
Thousands of contributors.
The chaos of real daily life
that no lab can replicate.

No contributors = no data.
No data = no intelligence.

Every upload trains a robot.
#DePIN #EmbodiedAI #AIData

[Robotin Network @robotin_network]

@Cointelegraph awesome！
next key is decentralized training data🫡
→https://t.co/On5JMb7mKb

[Robotin Network @robotin_network]

Two ways to build a home-image dataset:

Hire workers in an office.
Or empower thousands of real contributors in real homes.

Different scale.
Different authenticity.
Different cost.

→ https://t.co/On5JMb7mKb
#DePIN #Web3 #AIData