Implementation of Jellyfish Search Algorithm Towards Path Planning of Mobile Robot Navigation in Complex Environments

Abstract

In this paper focuses on the mobile robot's direction and control using Jellyfish search algorithm technique. The robot uses various sensors like front, left, right sensors to map the surroundings and the environments during this Jellyfish algorithm technique. This sensory data, for command of a robot, while navigating from starting position to destination position various obstacles at different positions are negotiated. A flexible Mini RC Mecanum Wheel Robot has been utilized for experimental purposes. And, it has Arduino UNO board, Infrared sensors, and Ultrasonic sensors to regulate the robot. This Jellyfish search algorithm technique has the capability to avoid the local minima while finding out the global minima during navigation. In this paper both simulation and experimental work has been carried out. During simulation the differentiation between the results are found to be within 5%. The results are depicted regarding the length of the path and navigational time. The results for both simulation and experimental setup are agreeing to each other within 5%. The main feature and basic objective of this document is to develop an additional effective method for mobile robot path planning.