Abstract: Design and modeling of an autonomous AGV with intelligent navigation and control system is an implementation of automated guided vehicles which are used to navigate goods from one place to another. This paper shows the methodology which can maximize the performance of an AGV. We have also mentioned the algorithm to avoid obstacles in the way of an AGV and also to find the shortest path to the destination. This methodology not only reduces the cost but increase the efficiency from compared to previously proposed AGV. The proposed AGV will decrease the chances of accidents and mistakes. We are going to increase the working speed of AGV as it will not need to stop its work due to some external obstacles. We have used Kalman filter and PID to increase the accuracy of AGV. The A* algorithm is used to find the shortest path by avoiding obstacles to reach destination in minimum time. We have used directional sensors to get information about current position and destination of AGV. The highly accurate directional sensor will help AGV to easily calculate the position of it at any point.
Keywords: AGV (automated guided vehicle), LASER (light amplification by stimulated emission of radiation), P (proportional), PD (proportional derivative), PI (proportional integral).