Robots, Logistics, And Geospatial Spatials In Motion Robotics, Spatial prompts, and geospatial coordination for high-throughput facilities. Maps used to be static: paper sheets, …
Ambient Spatial Computing Ambient Spatial Computing describes a future where Spatial AI quietly runs in the background of everyday environments, coordinating Spatials without …
Indoor Positioning Indoor Positioning covers techniques for locating people and devices inside buildings, where GPS is weak or unavailable. Methods include Wi-Fi and BLE …
Simultaneous Localization and Mapping (SLAM) Simultaneous Localization and Mapping (SLAM) is a family of algorithms that allow devices to build a map of an unknown environment …
Spatial AI Spatial AI describes AI systems that don’t just recognize objects or text, but understand how things are arranged and moving in 3D space. Spatial AI fuses camera …
Spatial AI Platform A Spatial AI Platform bundles the tools needed to build, deploy, and operate space-aware applications: mapping, localization, analytics, orchestration of …
Spatial Analytics Spatial Analytics tracks and analyzes what happens in space over time: where people dwell, how robots move, which paths congest, and how Spatials perform. It …
Spatial APIs Spatial APIs are programmatic interfaces that let applications read and write Spatial data-maps, Spatials, anchors, and events-as well as call Spatial AI services like …
Spatial Context Spatial Context refers to the rich situational information that comes from knowing where something is and what surrounds it. Spatial context includes nearby …
Spatial Data Layer The Spatial Data Layer is the shared foundation where all maps, Spatials, anchors, and Spatial events are stored and synchronized. It sits below applications, …
