OmniSense: the world model as projected perception in a volume.
A Physical AI system's world model, including where and what it is, is a function of sensing projected over a volume by a mesh of nodes: some attached to the system itself, some on peer systems, some anchored in the space. The mesh resolves the volume into three states: positive space (occupied, reconstructed by line-of-sight optical: vision, stereo, LiDAR, event), negative space (confirmed empty, carved along each clear ray), and the unknown behind barriers, which spatial RF (Wi-Fi, UWB, mmWave) sees through to resolve, occupied and empty alike. A system perceives itself not from within but from the whole mesh at once, driving the unknown toward zero.
omnisense on GitHub ↗Sense → perceive → model → simulate → act, as a function of volume, location, and projection. Toggle Single agent ↔ OmniSense to see occlusion close.
↓ Whitepaper · PDFRead online◆ Living paperTechnical Report TR-2026-08 · Institute for Physical AI @ BMI