Iván Hernández Dalas: Phase stability regulator based on two dynamic parameters for autonomous mobile robots
A phase regulator can make AMR management more predictable. Source: VisualNest AI, Adobe Stock Predictability is not stability. In my previous article , I proposed a priority-based architecture aimed at ensuring the predictability of autonomous mobile robots, or AMRs. Before we discuss phase regulation, let’s see the concepts I introduced: Hierarchies of missions Clearly defined interaction subjects Context-dependent levels of decision-making Neutral-autonomous status for legal predictability The goal was structural clarity: who makes decisions, within which mission, and under which constraints. However, structural predictability alone does not guarantee behavioral stability in real time. AMRs operating in warehouses, hospitals, or shopping centers regularly encounter dynamic environments: Sudden appearance of obstacles Sharp increase in human flow Map inconsistencies Sensor noise Conflicing recovery scenarios In such situations, failure is not mechanical. It is c...