New Phase Stability Regulator Enhances Autonomous Mobile Robots' Performance
A new phase stability regulator has been developed to improve the performance of autonomous mobile robots (AMRs) by managing computational instability. The regulator, based on two dynamic parameters, addresses the challenges faced by AMRs in dynamic environments such as warehouses and hospitals. These robots often encounter sudden obstacles, increased human traffic, and sensor noise, leading to computational divergence rather than mechanical failure. The regulator uses two signals: Delta N, which measures external task gradient, and Delta D, which measures internal behavioral divergence. By monitoring these parameters, the system can dynamically adjust its planning and control processes to maintain stability and prevent computational overload. 
