Phase stability regulator based on two dynamic parameters for autonomous mobile robots
therobotreport.com May 2, 2026

Phase stability regulator based on two dynamic parameters for autonomous mobile robots

AI-summarised brief · reviewed before publication

A phase regulator can improve autonomous mobile robot management by making it more predictable and stable. The regulator is based on two dynamic parameters: external task gradient and internal behavioral divergence. These parameters help monitor and regulate the system's stability in real-time, preventing computational divergence and instability. The regulator can limit search depth and branching, reducing the explored search space without losing solution validity. This approach can be applied to various AMR systems.

💡 Why It Matters

  • · Regulating phase stability can prevent robots from freezing or oscillating between behaviors, ensuring seamless operation in dynamic environments.
  • · By monitoring both environmental complexity and controller stability, the regulator can intervene before computational instability occurs.