The current work exploits the quantum theory-inspired optimization method available in literature. It requires local signal readings acquired along environment exploration. A control function u alters the dynamical system trajectories towards the curve between current coordinates and estimation for a scalar function critical point. Finally, a numerical simulation validates the proposed method.
