Designing Flutter robot alerts with priority queues and flood control

Robots can generate hundreds of status changes during a single fault, and firing a toast or rebuild for each one can bury the most important warning. The suggested approach sorts alerts by severity, source, and incident identity so repeated reports for one active fault update a single incident. A durable incident list kept in application state serves as the real record, with snackbars and banners acting only as secondary cues. Low-priority repetitive events are grouped, critical alerts follow their own escalation policy, and queues are capped with updates batched to avoid rebuilding the whole fleet screen. The guidance also stresses testing on target hardware, keeping heavy processing off the UI thread, and separating control commands and critical alerts from replaceable telemetry.