Space
Where entities exist.
POSITION / GEOMETRYWorld models / spatial intelligence
Intelligence needs a world to reason about.
WorldGrounding explores the layer that connects models to space, objects, state, time and physical context.
01 / GROUNDING
A model sees inputs.A world model sees structure.Grounding connects the two.
Models can reason in latent space. Grounding gives that reasoning a place, a state and a relationship to reality.
02 / WORLD LAYERS
Layers of a grounded world.
A world is not one surface. It is a layered representation that keeps context intact.
Objects
What exists in the environment.
IDENTITY / BOUNDARYRelations
How entities connect.
CONTEXT / DEPENDENCYState
What is currently true.
STATUS / CONDITIONTime
How the world changes.
HISTORY / TRANSITIONAction
What can happen next.
AFFORDANCE / EFFECT03 / REPRESENTATION
A world is not a frame.
A single image captures appearance. A grounded representation must preserve identity, position, relationships, state, history and change.
FRAME
A visible instant, detached from what came before and what may follow.
WORLD
Persistent entities held in geometry, state, relationship and time.
04 / WORLD GRAPH
Reasoning needs structure.
Grounded intelligence depends on persistent entities and relationships, not isolated observations.
ENTITYSTATERELATION
REGION ASPATIAL CONTAINER
OBJECT 01IDENTITY / PERSISTENT
ZONE 03ACCESS / ACTIVE
POSITIONX 42.1 / Y 08.4
STATEOCCUPIED
RELATIONWITHIN / NEAR
05 / WORLD UPDATE
From observation to grounded world state.
- 01
Observe
Receive a partial view of the environment.
- 02
Identify
Resolve persistent entities beyond pixels.
- 03
Localize
Place entities within shared geometry.
- 04
Relate
Connect objects, regions and context.
- 05
Update
Carry state forward as the world changes.
- 06
Predict
Reason about possible next states.
06 / MULTI-SCALE
Think across scales.
Grounded intelligence should reason from local objects to larger environments without losing identity or context.
WORLD 06
ENVIRONMENT 05
CITY 04
FACILITY 03
ROOM 02
OBJECT 01
ACTIVE SCALEOBJECT1 : 1
07 / TIME + STATE
The world changes.
Grounding is not only where something is. It is also what state it is in, what changed and what may happen next.
OPEN
Initial state
MOVING
Transition detected
OCCUPIED
Context updated
BLOCKED
Next action constrained
08 / APPLICATIONS
One world layer.
Many intelligent systems.
World Models
Represent environments as persistent structures for reasoning and prediction.
Embodied AI
Connect perception and action through a coherent understanding of place.
Simulation
Preserve entities, rules and evolving state across modeled environments.
Autonomy
Plan within geometry, constraints, uncertainty and changing conditions.
Spatial Intelligence
Reason about what exists, where it belongs and how it relates.
Digital Environments
Give intelligent systems a structured context beyond a single interface.
09 / WHY NOW
Why grounding matters now.
Models are becoming increasingly capable of reasoning over vision, language and action.
But intelligence that operates beyond software needs persistent context about the world itself.
World grounding is the bridge between model representations and real environments.
10 / PRINCIPLES
Principles for grounded worlds.
Persistent
Entities should remain identifiable over time.
PSpatial
World state must preserve geometry and location.
SRelational
Context depends on how entities connect.
RDynamic
The representation must evolve as the world changes.
DUncertainty-aware
Unknown state should remain visible.
UAction-compatible
Grounding should support planning and execution.
A11 / A WORLD, NOT A FEED
The world is not
a sequence of frames.
It has place.It has state.It has memory.It changes.
WorldGrounding.
Ground intelligence in reality.
DOMAIN STATUSWORLDGROUNDING.COMAVAILABLE FOR ACQUISITION
12 / OWNERSHIP
Own the name for the
world grounding layer.
WorldGrounding.com is available for acquisition.
A precise .com for world models, spatial intelligence, embodied AI, simulation and real-world AI infrastructure.
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