Brain-Computer Interface (BCI) technology allows to use brain signals as an alternative channel to control external devices. In this work, we introduce an Hybrid Brain-Robot Interface to mentally drive mobile robots. The proposed system sets the direction of motion of the robot by combining two brain stimulation paradigms: motor imagery and visual event related potentials. The first enables the user to send turn-left or turn-right commands to the robot by a certain rotation angle, while the second enables the user to easily select high level goals for the robot in the environment. At the end, the system is integrated with a shared- autonomy approach in order to improve the interaction between the user and the intelligent robot, achieving a reliable and robust navigation.