Autonomous Navigation Robot based on Dynamic and Static Mapping Techniques

Development of an autonomous navigation robot based on dynamic and static mapping is presented in this paper. The basic features of the Autonomous navigation robot include detection and avoidance of obstacles, and navigating through a specified path from one location to another. The only input to the system will be the destination location. Also the robot is to be capable of providing a video feedback for remote monitoring of its surroundings so asto facilitate manual control of the robot as and when necessary. Obstacle avoidance is achieved by fusion of data from a variety of sensors including ultrasonic and infrared sensors. Navigation is achieved either through dynamic mapping or static mapping techniques. Dynamic mapping technique involves use of GPS receiver and associated longitudinal and latitudinal data. Static mapping technique is based on distance measurement with respect to a localized reference point. The reference point here is distinct and unique for each map that is created. Video feedback is achieved using a camera and existing wireless data transmission techniques. Our concern is to develop a robot capable of traversing between different locations defined within a particular map based on the destination input, provided by the user, choosing an optimum path, providing video feedback and avoiding static obstacles.