[en] Brownian motors and Feymann ratchets have been intensively studied in the past decades due to their significance to the foundation of statistical physics. In this work, we propose a new type of Brownian motor, i.e. a self-driven motor that only utilizes the temperature differences inside and outside the motor. The motor is a container with asymmetric geometry. When filling gas, directional motion occurs when the temperature is different from the environment. This new mechanism is about the asymmetric geometry of the container, which induces anisotropic thermalization, and results in a density gradient and propels the motor. The directional motion ceases until the density gradient disappears as the inside temperature approaches the environment temperature. The same mechanism is also applied to design self-driven rotators. Additionally, possible experimental realizations are discussed. (paper: classical statistical mechanics, equilibrium and non-equilibrium)