David Johann Goetia

Building toward research in spatial intelligence and world models.

scroll research ↓

About

Abstraction seeks a body.

I work toward spatial intelligence: systems that build an internal model of the world and reason within it before acting. My intent is to develop this from first principles, across perception, world models, and embodied reasoning, toward machines that understand space rather than react to it.

Research

INERA — a spatial-intelligence and embodied-AI project.

An architecture that can perceive, model, simulate, and act in physical 3D space. The principle is simple: simulation before action. Build an internal model of the world, run possible moves forward, weigh their outcomes, then commit. Closer to world-model robotics than to stimulus-response automation.

Perceive Model Simulate Decide Act
Spatial Intelligence
Geometry, distance, objects, and 3D structure as the substrate of thought.
World Models
An internal representation that predicts how the environment will change.
Perception & SLAM
Localizing and mapping space in real time, from cameras, depth, and IMUs.
Simulation Before Action
Running the model forward to choose a move, not merely react to one.

Focus

Where geometry, mind, and machine meet.

Physics AI Philosophy

Spacetime as geometry, intelligence as machine, and the conditions that make either thinkable. The work lives where the three meet.

Contact

Open to research, collaboration, and good arguments.