Automated Guided Vehicle Simulation Software Development using Parallel Cascade Fuzzy Method for Reaching a Target

Abstract

Environment change is considered problem in a development process of Auto Guided Vehicle Robots. Parallel cascade fuzzy is a specialized method that developed for volatile operating environment. In the previous study, Parallel cascade fuzzy haven't implemented for reach a goal area. In this study, parallel cascade fuzzy being used by Auto Guided Vehicle robot to avoiding obstacle and reaching goal area. Another fuzzy algorithm involved in the test stage to compare the performance with Parallel Cascade Fuzzy. In the development of robot movement control system, simulation software that able to reveal a working pattern of such method can be used to facilitate the testing process.