AI gives robots a brain.
Robotics gives AI a body.
That’s what makes @BitRobotRobotics interesting — smarter robots built for the real world.
@axisrobotics
Robotics is moving beyond machines that simply follow commands.
What makes @BitRobotRobotics interesting is the idea of making robots more intelligent, adaptable, and useful in real-world environments.
AI gives robots the “brain” robotics gives AI a body.
Crypto + robotics is heating up. 🤖
Robots need data.
Crypto can help reward people for providing it.
Axis is turning real-world robot data into simulations to train better AI.
Real → Sim → AI → Real.
@axisrobotics
I don’t think people realise how much traction crypto robotics protocols are gaining
One of the biggest bottlenecks in robotics is data; crypto is primed for co-ordinating resources to incentivise data contribution
Booster is interesting because it’s building the full humanoid stack (hardware, OS + developer tooling) and getting increasingly capable robots into the real world
Axis is now using those real-world demonstrations as seeds for simulation, multiplying scarce robot data into training environments at scale
This “real → sim → model → real” loop is becoming one of the most important flywheels in Physical AI
Axis also announced they’re deploying subnet 4 on @BitRobotNetwork recently who I’m following closely (think TAO purely for robotics)
We will be publishing our second @KhalaResearch decentralised robotics report later this month, so stay tuned… A LOT has changed since January
Robot intelligence kini mulai dibangun onchain di Base.
Lebih dari 110K kontributor telah menghasilkan 2,5 juta+ data trajectories. Siapa pun yang punya laptop bisa ikut melatih AI untuk robot—bahkan sambil berpeluang mendapatkan reward.
@axisrobotics@axisrobotics
The production of robot intelligence is moving onchain—and it’s happening on @base, with support from @baseapac@Nibel_eth.
Since our March 24 launch on Base, 110K+ contributors have produced more than 2.5M data trajectories.
Anyone with a laptop—even kids—can now help train robots and earn along the way.
Mau mulai @axisrobotics tapi masih pemula? Tenang, gampang kok. 👇
https://t.co/pSoRbm7jTk
Cukup siapkan sedikit $ETH atau $BASE buat gas fee. Semoga jadi peluang retroactive. 🚀
@axisrobotics
Ini dia cara garap @axisrobotics buat pemula kaya saya,
yuk gaskan kawan.
https://t.co/uNe32PH6kL
BTW ini termasuk Retroactive ya guys, jadi butuh sedikit pelicin dalam bentuk $ETH $BASE *Murah kok.
@AxisRoboticsID
AXIS Dataset V1 is here! A scalable simulation dataset for robot manipulation that boosts π0.5 on LIBERO Plus from 83.9% → 88.8%, proving the power of large scale simulation for embodied AI.
📄 https://t.co/q4LaJuuAJN
#AI#Robotics#EmbodiedAI@axisrobotics
Introducing Axis Dataset V1 - the simulation dataset for scalable robot manipulation.
Can noisy, crowdsourced simulation data support embodied pretraining? Yes—with enough coverage and diversity.
Continual pretraining on AXIS dataset V1 lifts π0.5 from 83.9% to 88.8% on LIBERO-Plus, with performance improving consistently as the pretraining data scales from 25% to 100% of the full dataset, showing no clear saturation.
Built with researchers from @GeorgiaTech@UCBerkeley@TAMU@JohnsHopkins@Penn@UMich@NUSingapore@NTUsg.
➡️Related links:
Paper: https://t.co/rbLEnEtPPn
Dataset: https://t.co/Uu7QqPc8xv
Project Page: https://t.co/LwpAopJ4Fh
GitHub Codebase: https://t.co/1napmtKFnA