GEODNET

The next AI revolution is not just happening on screens. It is happening in the physical world. Robots, drones, autonomous vehicles, and smart machines all need one thing before they can operate safely: Precise location. Traditional GPS can be off by several meters. For humans, that may be fine. For autonomous machines, it can be dangerous. GEODNET is building the spatial intelligence layer for Physical AI, using RTK positioning to improve accuracy from meters to within one centimeter. Over 20,000 base stations. 170+ countries. 11,000+ cities. 130+ enterprise customers. Physical AI needs real-world infrastructure. That infrastructure is being built now.

Explore the world's largest RTK network: geodnet.com/network

One global network. 176 countries. 22,000+ stations. 🌎 This week's spotlight: nine more US towns on the map. Whitman, Arbovale and Lillydale, WV South Deerfield, MA Harrison, AR Roan Mountain, TN Wrightsville and Vidalia, GA Bishop, TX Where are you in the world? Drop your town 👇

RTK has a rule: the closer the base station, the better the correction. The signal errors a base station measures are nearly the same for a receiver nearby. Move farther away and they drift apart, so accuracy drops. That's why coverage isn't just about reach. It's about density. GEODNET: 22K+ stations across 176 countries, with more small towns added every week. Where would you want a station closer? 👇💭

It's already live! You can check which areas qualify and how it works here: console.geodnet.com/map

Watch Part 2 → youtu.be/lW9GwFGOSVI

"There's one thing in my kitchen that can do all of those things. You know what it's called? A skillet." 🍳 Is the future of robots a kitchen full of specialized gadgets, or one tool that does it all? Part 2 of ROBOSTRATEGY x GEODNET is live. Link in first comment!

Short answer: it degrades gradually with distance. The atmospheric errors differ more the farther you are from the base, so a closer station means a better fix. That's why we keep adding stations.

Watch the full recap here → youtu.be/t-x1j9RRvfI

Great to show centimeter-level RTK at Commercial UAV Expo alongside @HyfixAI. Watch the full recap 👇

Cameras and lidar see what's around a machine. RTK tells it where it is on Earth. A robot can spot a fence, a row or a curb with its sensors. But it can't know which field it's in, where the boundary runs or where it was yesterday without absolute positioning. Sensors see. RTK locates. Physical AI needs both. GEODNET is that positioning layer: The Rails for Physical AI.

Thanks for breaking down StableHex! It rewards stations that bring RTK coverage to areas that don't have it yet. Official details here: console.geodnet.com/stableHe…

Vidalia, Georgia: home of the sweet onion! 🧅 Vidalia sits in farm country, where planting, spraying, mapping and autonomous equipment all depend on knowing exactly where a machine is. GPS alone can be off by meters. RTK brings it down to centimeters. Vidalia, GA is now on the GEODNET map! The network now spans 176 countries with 22K+ stations, one more town at a time. 📍

How RTK works, simply put: Satellite signals travel about 20,000 km to reach a receiver. On the way, the atmosphere bends and delays them. A standalone receiver can end up meters off. RTK fixes that: 1. A base station sits at a known, fixed location. It knows exactly where it is. 2. It compares that position to what the satellites report. The gap shows how much error is in the signal right now. 3. That correction streams to your machine over the internet in real time. 4. Your receiver applies it and lands within centimeters. Meters become centimeters. That's the difference between "somewhere in the field" and "on the row." The closer the base station, the better the correction. That's why GEODNET keeps adding them, every week. 22,000+ base stations. 175 countries. The world's largest RTK network.

Watch Part 2 → youtu.be/lW9GwFGOSVI

"The autonomous lawnmower is the same price as the standard one." 🌿 Remove the handlebars and the controls, and the machine still has to know exactly where it is. Would you pick the robot if it cost the same? 👇💭 Check out Part 2 of ROBOSTRATEGY x GEODNET. Link in first comment!

Great read on the series. Specialized machines for the repetitive work, people for the parts they love. Thanks for sharing!

Thanks for the share!

Watch Part 2 → youtu.be/lW9GwFGOSVI

"I'm really picky with pancakes." 🥞 Grandma's recipe vs. industrial grade. Some things we do at home because it's more authentic. Which chores would you hand to a robot, and which would you keep? Part 2 of ROBOSTRATEGY x GEODNET is live. Link in first comment 👇