Implementation of Fuzzy-Logic Control System for Bionic Robot Underwater

Abstract

The bionic robotics or the environment inspired robots are widely studied and used in different fields to be researched more with increasing accuracy rate day by day due to rapid growth of robotics in Artificial Intelligence (AI), Machine Learning and various growing fields of technology. In this paper a special kind of Bionic robot is discussed and implementation of fuzzy logic control system is introduced for obstacle avoidance underwater. The fuzzy logic control for this kind of robot specially designed to avoid obstacle occurring in the path of the robot especially while surveying underwater. The mechanism is inspired from fish like structure for easy movement under the water. Method of avoiding the obstacle used is known as VFF (Virtual Force Field) which is widely used in the field of mobile robotics. Using this method robots can move along the ideal path to the target based on the fuzzy control system in different environment, especially in unknown environment. The bionic structure helps the robot to obtain highest accuracy as possible while moving underwater and the design is been studied in many fields for providing more accurate results, for example: Theo leg mechanism model for 4 legged robots, automated robotic arm using fuzzy logic control, etc.

bionic, fuzzy, environment, Artificial.