  We study experimentally, numerically and theoretically the optimal mean time
needed by a Brownian particle, freely diffusing either in one or two
dimensions, to reach, within a tolerance radius $R_{\text tol}$, a target at a
distance $L$ from an initial position in the presence of resetting. The reset
position is Gaussian distributed with width $\sigma$. We derived and tested two
resetting protocols, one with a periodic and one with random (Poissonian)
resetting times. We computed and measured the full first-passage probability
distribution that displays spectacular spikes immediately after each resetting
time for close targets. We study the optimal mean first-passage time as a
function of the resetting period/rate for different target distances (values of
the ratios $b=L/\sigma$) and target size ($a=R_\text{tol}/L$). We find an
interesting phase transition at a critical value of $b$, both in one and two
dimensions. The details of the calculations as well as experimental setup and
limitations are discussed.
