Reference
Connect language and intent to real objects.
Grounding for embodied intelligence
Intelligence needs
a place in the world.
RobotGrounding explores the layer that connects language, perception, state and action to real objects and spaces.
LANGUAGE“place the component
on the left tray”
on the left tray”
ACTIONPICK → MOVE → PLACE
AVAILABLE FOR ACQUISITIONVIEW DOMAIN ↗
PERCEIVE → GROUND → ACT
Perception recognizes.Grounding connects.Action depends on both.
01 / THE QUESTION
What does grounding mean
for robots?
It is the work of mapping abstract intelligence to a particular physical situation.
Context
Understand where objects are, what state they are in and what surrounds them.
Action
Translate grounded understanding into valid physical behavior.
02 / THE LAYER
Layers of grounding
A grounding system must join intelligence to the particulars that matter in the world.
Language Grounding
Connect words to entities in the world.
↘Visual Grounding
Connect perception to specific objects and regions.
↘Spatial Grounding
Connect entities to position, geometry and environment.
↘State Grounding
Understand object, system and environment state.
↘Action Grounding
Connect intent to physically valid actions.
↘Policy Grounding
Constrain action using environment and authority.
↘03 / SCENE GRAPH
The world is not
a prompt.
Robots operate over objects, geometry, state, time and uncertainty. Grounding turns those elements into actionable context.
04 / RESOLUTION
From instruction to
grounded action.
“Place the component on the left tray.”
- LANGUAGEplace / component / left tray
- OBJECTcomponent_12
- SPATIALleft_tray_03
- STATEavailable
- ACTIONpick → move → place
05 / DISAMBIGUATION
Grounding removes ambiguity.
“Move it
over there.”
ambiguous object
ambiguous destination
ambiguous state
OBJECT_12
TARGET_ZONE_03
STATE_VALID
ACTION_READY
Reference is specific.
Context remains visible.
06 / WHERE IT MATTERS
Grounding across
embodied systems.
Manipulation
Relate intent to objects, surfaces and physical constraints.
Navigation
Locate a route inside a changing, referential environment.
Human Instructions
Resolve natural language against the scene people share.
Robot Learning
Link observations, demonstrations and outcomes to context.
Autonomous Systems
Maintain a legible world state before a decision is made.
Simulation-to-Real
Carry references between modeled environments and actual ones.
07 / NOW
Why grounding
matters now
Foundation models can increasingly reason over language and vision.
But robots must act inside physical environments where references, geometry, state and consequences are real.
Grounding is what connects model intelligence to that environment.
08 / FIRST PRINCIPLES
Principles for
grounded intelligence
Situated
Intelligence should understand where it operates.
Referential
Words should map to specific real-world entities.
Spatial
Objects exist in geometry, not only labels.
State-aware
Action depends on current world state.
Actionable
Grounding should support valid physical decisions.
Uncertainty-aware
Ambiguity should remain visible rather than hidden.
09 / SPATIAL MANIFESTO
A robot does not act
in abstract space.
It acts here.
On this object. In this state. At this moment.
RobotGrounding.Ground intelligence in the world.X / 34.1 Y / 12.8 Z / 00.4
DOMAIN STATUS / AVAILABLE
Own the name for
the grounding layer.
RobotGrounding.com is available for acquisition. A precise .com for robotics, embodied AI, spatial intelligence and the emerging infrastructure between models and the physical world.
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