Glossary
Spatial AI
Spatial AI refers to AI systems that understand, generate, or reason about space: geometry, scenes, objects, movement, depth, and physical relationships.
FocusSpace, geometry, scenes
Related toWorld models, robotics, 3D generation
Common inputsImages, video, depth, 3D data
Common outputsScenes, predictions, actions
Definition
Spatial AI is AI that works with space. It may understand 3D layout, generate environments, reason about object relationships, or plan actions in physical or simulated worlds.
Why it matters
- Robots need spatial intelligence to act safely.
- Creators need spatial tools to design environments.
- World models need spatial consistency to be useful.
- AR, VR, games, architecture, and simulation all depend on spatial reasoning.
FAQ
Is spatial AI only about 3D generation?
No. It includes 3D generation, scene understanding, robotics, mapping, localization, physical prediction, and interaction.