An Autonomous Maze-Solving Robotic System Based on an Enhanced Wall-Follower Approach

Autonomous robots are designed to discover and interpret their surroundings and orient themselves around obstacles to reach the destination point from an initial point. Robot autonomous navigation is a requirement for maze-solving systems, where the solver robot is required to navigate the maze area...

Full description

Bibliographic Details
Published in:Machines
Main Authors: Shatha Alamri, Hadeel Alamri, Wejdan Alshehri, Shuruq Alshehri, Ahad Alaklabi, Tareq Alhmiedat
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Subjects:
Online Access:https://www.mdpi.com/2075-1702/11/2/249
Description
Summary:Autonomous robots are designed to discover and interpret their surroundings and orient themselves around obstacles to reach the destination point from an initial point. Robot autonomous navigation is a requirement for maze-solving systems, where the solver robot is required to navigate the maze area to get its desire destination location using the fastest route possible. In this paper, a new, modified wall-follower system for a maze-solving robot was proposed that overcame the infinite loop-back issue in the traditional wall-follower approaches. We also investigated and analyzed the performance of three different maze-solving algorithms and compared them with the proposed, modified wall-follower robotic system by conducting several real experiments to validate the efficiency of the developed wall-follower robotic system.
ISSN:2075-1702