World’s Largest RTK Network. The Precision Layer of the Robot Economy. https://xitter.cf/t.co/67eEVrdLnI
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Joined September 2021
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Proud to see David on stage at @token2049 sharing why physical AI needs reliable positioning. 🎤
22K+ stations, 175 countries. 📍
Honored to speak at @token2049 on The Rails for Physical AI. 🎤
Every robot, drone, and autonomous machine entering the real world needs to know exactly where it is. @GEODNET delivers that centimeter-level positioning layer:
22K+ stations across 175 countries.
Thank you to everyone who stopped by. 📍
Great talk, David! Every machine in the real world needs to know where it is, and that's the rails we're building. 🎤
That depends on each machine's design. Most pair RTK with an IMU and wheel odometry to bridge short outages, and some slow or pause until the fix returns.
Our job is keeping the corrections reliable. 📍
Both matter, but a reliable RTK fix wins. For a mower at low speed, 18 Hz of 1.5 m data still wanders; a held fix under trees and multipath is what keeps the lines straight. Update rate helps smooth control. 📍
Day 2 at @equipexposition! 🚜
GEODNET Project Creator @mikeahorton with the Mowze team.
Mowze, based in Maryland, builds American-made,
high-capacity mowers, and is a @GEODNET customer and station host.
Robotic mowing runs on precise positioning. Great to see it on the show floor!
Booth #9195. Drawing at 4 PM ET. 👀
@equipexposition
RTK coverage in your region is active. 📍
For TokenRun account availability questions, please contact TokenRun support.
Great question! Running a GEODNET station is how you earn.
You can see the hardware and get started here: geodnet.com/products
Need help? [email protected] 📍
The internet connected information.
Physical AI needs to connect location.
Every autonomous machine entering the real world needs to know exactly where it is, in real time, globally, reliably.
That's not a feature. That's infrastructure.
@GEODNET is that layer.
22,000+ stations. 175 countries.
Already built. Already running.
GEODNET retweeted
Whichever machines win, they all need centimeter accuracy outdoors.
That gap is a product, and @GEODNET sells the fix.
A spray drone, tractor or delivery robot pays for RTK corrections to get centimeter accuracy, and GEODNET collects that revenue in fiat.
80% of that revenue buys $GEOD on the open market and burns it, so demand for positioning becomes buying pressure.
The chain is already working. GEOD burned 3,050,000 tokens in the past month, and the burn now offsets around 80% of new issuance.
We think this is the most overlooked part of the robotics boom.
People talk about the humanoid, the chip and the model, and very few talk about positioning.
Specialized machines pay first and humanoids add to the demand later, and each new machine is one more subscription feeding the burn.
GEODNET already runs the largest RTK network in the world, built by operators who paid for the hardware themselves.
A network like that takes years to place.
We are extremely bullish on $GEOD, because it is tied directly to demand for positioning in physical AI.
We think the market still prices it like a small project.
Always fun listening to Mike Horton, founder of @GEODNET .
Interesting take on humanoids versus specialized machines here and I agree. imho we'll see a mix, with specialized machines paying back first.
Whatever form they take, they all need to know exactly where they are and regular GPS is not good enough outdoors, since it can be off by a few meters.
GEODNET runs the world's largest RTK network, with centimeter-level precision, 22K+ base stations in 175 countries.
That is what the rails for physical AI look like🦾
Paris, Texas is covered too. 🤠 There are stations all around that area. That makes three Parises on the network. 📍
Eight hours of endurance. Now imagine it knowing exactly where it's standing, down to the centimeter. 📍