This review article, authored by Peter Hänggi and Fabio Marchesoni, explores the concept of artificial Brownian motors, which are devices that utilize Brownian motion combined with external input signals to achieve directed particle transport at the submicron scale. The authors discuss the constructive role of Brownian motion in various physical and technological setups inspired by cellular molecular machinery. They cover the working principles and characteristics of stylized devices, emphasizing how fluctuations, whether thermal or extrinsic, can be used to control diffusive particle transport. The review highlights recent experimental demonstrations of this concept, particularly in artificial nanopores and optical traps, where single-particle currents have been measured. The article also delves into two- and three-dimensional devices containing multiple interacting particles, where noise certification results from the interplay of particle Brownian motion and geometric constraints. Recent advancements in selective control and deterministic action of interacting colloidal particles and magnetic fluxes are discussed, leading to the development of new microfluidic and superconducting devices. The field has been enriched by impressive experimental achievements in building artificial Brownian motor devices that operate within the quantum domain by harvesting quantum Brownian motion. The review concludes with a perspective on future directions and potential new applications.This review article, authored by Peter Hänggi and Fabio Marchesoni, explores the concept of artificial Brownian motors, which are devices that utilize Brownian motion combined with external input signals to achieve directed particle transport at the submicron scale. The authors discuss the constructive role of Brownian motion in various physical and technological setups inspired by cellular molecular machinery. They cover the working principles and characteristics of stylized devices, emphasizing how fluctuations, whether thermal or extrinsic, can be used to control diffusive particle transport. The review highlights recent experimental demonstrations of this concept, particularly in artificial nanopores and optical traps, where single-particle currents have been measured. The article also delves into two- and three-dimensional devices containing multiple interacting particles, where noise certification results from the interplay of particle Brownian motion and geometric constraints. Recent advancements in selective control and deterministic action of interacting colloidal particles and magnetic fluxes are discussed, leading to the development of new microfluidic and superconducting devices. The field has been enriched by impressive experimental achievements in building artificial Brownian motor devices that operate within the quantum domain by harvesting quantum Brownian motion. The review concludes with a perspective on future directions and potential new applications.