Our goal is to implement a wheelchair guidance system based on electrooculography [9], [10]. This work is included in a general purpose navigational assistant in environments with accessible features to allow a wheelchair to pass. This project is known asSIAMOproject[11],[12]whereacompletesensorysystemhas been designed made up of ultrasonic, infrared sensors and cameras in order to allow the detection of obstacles, dangerous situations and to generate a map of the environment. The SIAMO prototype has been designed with the aim of being versatile, allowing the incorporationor removal of variousservices by simple adding or removing the modules involved in each task. The main functional blocks are power and motion controllers, human-machine interface (HMI), environment perception, and navigation and sensory integration. Inside this project, our work is centered in developing a HMI based on electrooculography. Experimental results with users have shown that these demand to interact with the system, making the robotic system semiautonomous rather than completely autonomous. Therefore, our system must allow the users to tell the robot where to move in gross terms and will then carry out that navigational task using common sensical constraints, such as avoiding collision.