AGI (autonomous geonavigation intelligence)

• 

  wip

Inspiration

If we want to create autonomous robot/humanoids they must know how to navigate this world on their World models and VLAs are expensive and not the best approach. why train models on sim world when you can use the real world as your playground. Teslas, waymo had spent billions of dollars to solve navigation. But it does not have to be that expensive. You can bring your robot/humanoid and start navigating the real world, with your own policy or no policy at all. No VLA required, use the vision powered by Gemini 3.0 flash. And for the brain use Gemini 3.0 pro.

This shows dedicated models are not required to achieve AGI.

What it does

Navigate the world (digital twin) on its own

How we built it

cesium for digital twin, mujoco for sim and sim2real

Challenges we ran into

a lot, mostly syncing mujoco

Accomplishments that we're proud of

First baby step to AGI

What we learned

VLAs and world models are not the only way

What's next for AGI (autonomous geospatial intelligence)

Sim2real

Built With

• cesium
• gemini
• mujoco
• python