Design of an artificial intelligent system to generate 2D map of unknown environment

Knowledge-based systems are advanced systems for representing complex problems that use artificial intelligence. They incorporate a database of expert knowledge designed to facilitate the knowledge retrieval in response to specific queries, along with learning. In this paper we present a knowledge based system designed to develop a semi-autonomous vehicle (Robot car) that can detect obstacle, generate a map of unknown environment and find path from generated map. The vehicle is equipped with several sensors to sense whether there is obstacle or not. It continuously sends information collected by sensors to controller via wireless communication module. The controller analyzes information from sensor, formulates corresponding plans, makes appropriate decision and sends instructions to the car. The car actuator drives the car to the direction according to the controller acknowledgement. Thus it can find obstacle free path. The vehicle is tested with varying destination places in indoor and outdoor environments containing stationary as well as moving obstacles and is found to perform automatic action and generate a map of the unknown place with the help of AI.