Steering chiral active Brownian motion via stochastic position-orientation resetting

Abstract: Guiding active motion is important for targeted delivery, sensing, and search tasks. Many active systems exhibit circular swimming, ubiquitous in chemical, physical, and biological systems, that biases motion and reduces transport efficiency. We show that stochastic position-orientation resetting can overcome these limitations in two-dimensional chiral active Brownian particles by interrupting circular motion, resulting in tunable dynamics. When resets are infrequent compared to chiral rotation, the steady-state mean-squared displacement varies non-monotonically with rotational diffusion. Steady state excess kurtosis and orientation autocorrelation yields spatiotemporal state diagram comprising three states: an activity-dominated chiral state, and two resetting-dominated states with and without chirality; in contrast, the achiral counterpart supports only the resetting-dominated state. Chirality thus enriches the dynamical landscape, enabling tunable transitions between transport modes absent in achiral systems. A simple reset protocol can thus transform chiral active dynamics and offer a practical strategy for optimizing search and transport in circle swimmers.