In this project, we use Scalp EEG and brain computer interfacing techniques to understand and analyze the human visual processing system. We analyze the changes in brain activity for various visual stimuli. For this project we chose P300 event related potentials as control signals for navigating a robot using an EEG driven brain machine interface. P300 potentials are elicited in EEG as a reaction to visual cues with luminous flash. High reliability and preciseness of P300 responses to visual stimuli enabled us generate increased number of control signals resulting in better maneuverability of the robot. We then interface our EEG generated control signals to remotely navigate a rugged robot at the entrance of IPR1 building from our Vision Lab located at the 2nd floor of the IPR1 building.