Sensor Fusion Optimization is for systems where multiple sensors are supposed to agree but routinely argue. Robotics, diagnostics, and platforms need one coherent perception of reality, not a committee of noisy channels.
Ontomics designs fusion architectures that behave more like biological sensing: adaptive, context-aware, and structurally robust to drift and partial failure. The result is cleaner perception and simpler downstream logic.
Keywords: sensor fusion optimization, multi-sensor systems, bio-inspired sensing, emergent perception architectures, diagnostic signal fusion.