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Autonomous steering control is the principal task in the development of an intelligent transportation system. This research paper proposes a novel approach for vision based intelligent control of unmanned vehicles. The paper addresses the problems of accurate and efficient intelligent vehicle control by incorporating a well known evolutionary algorithm cAnt-Miner. The uniqueness of the proposed algorithm...
This paper describes the design of a fuzzy logic based intelligent controller for wall following behavior of a differentially steered mobile robot. The distance of robot from the wall and its orientation with respect to the wall is read with the help of three ultrasonic sensors mounted on left side of robot. The measured sensor values are fed to fuzzy logic controller that generates motor commands...
Most systems are nonlinear in nature and generally there aren't analytic control system design methods for them. Using artificial intelligent methods such as fuccy logic is more effective for such systems. But generating fuccy rules is the major problem of fuccy logic controllers. Sometimes fuccy rules are obtained from numerical data and occasionally rules are derived from human experts who have...
Orientation and position information are indispensable in mobile robot navigation. In this paper, a novel polarization sensor for getting orientation information is introduced. It exports an absolute azimuth angle. To take it effect in mobile robot navigation, a fuzzy logic controller is designed. It can direct the robot walking along the designed trajectory according to the information from the polarization...
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