Spatial Intelligence
Spatial intelligence is the ability to perceive, represent and reason about objects, layout and movement in space. In AI, the term covers capabilities such as estimating geometry, understanding spatial relations and planning movement.
A home robot asked to open a drawer needs more than the label “drawer.” It must estimate the handle’s position, choose a reachable grasp and account for an object blocking the path. Geometry, the robot’s own pose and possible motion all affect the action.
These capabilities overlap with computer vision but add a focus on spatial relations and action. A caption saying “a cup is on a table” does not supply the metric distance or clearance needed to grasp the cup. A robot may combine camera data, depth measurements and a map rather than rely on a text description alone.
The label names a group of capabilities, not one standard model architecture. Evaluate the spatial task the application needs: object-relative reasoning, measured distance or collision-free movement require different evidence. A plausible description of a scene is not proof of a physically executable plan.
Sources
- Dellaert and Hutchinson: Models for robotics — Connects representations of world and robot state, sensor models, action models and task planning.
Go deeper
- Dellaert and Hutchinson: A Mobile Robot With Simple Kinematics course
Study perception, state estimation and planning for a robot that moves through its environment.