Abstract: “Recent research has shown that Brain Machine Interface (BMI) can be used to assist disable people in navigating a robotic wheelchair by using voluntary mental intentions. BMI based navigation is a very challenging task. In this paper we present a novel adaptive method to improve BMI based robotic wheelchair navigation. The robot is controlled by an adaptive navigation platform that provides the user with scalablenavigation assistance. The platform is able to detect and avoid collisions by using a laser range finder sensor. Furthermore, by using computer vision it can read assistive information for visually impaired people (tactile pav-ing) on the floor and autonomously navigate the robot following tactile paving directions. Based on user intentions and environment context, the robot navigation adaptively changes between assisted andunassisted mode. Experimental results show that with the assis-tance of the adaptive navigation platform the robot navigation im-proves significantly. Furth”

Keywords: Brain machine interface, rehabilitation, robot navigation