Analysis of Robot Control and Navigation in Various Environments Using Genetic Ant Colony Potential Field Fuzzy AI Method

Abstract

This paper analyses Genetic Ant-colony Potential field Fuzzy (GAPF) AI optimization method for control navigation and path planning of various robots subjected to cluttered environments. In recent years’ methods used for mobile robots control and path navigation are in focus. GAPF AI method is used in this research to control robots in unknown environments while travelling from start point to goal point. Various embedded sensors are used to map the environments by the robotic agent while navigating from start point to goal point. From the results it has been found that the robotic agents are successful in path planning using GAPF technique while avoiding obstacles. Several results are exhibited in connection to navigation of robotic agents. Results show that GAPF method can be successfully employed for various types of robot navigation in complex environmental scenarios. In future modified GAPF method will be used to address various optimization problem.