Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—In robotics, autonomous movement is an important feature that enables the robot to move independently from one location to another. Autonomous movement within an unknown area requires the robot to carry out investigations. The concept of solving a maze has an important place in the field of robotics, and is based on one of the most important areas of robotics, the Decision-Making Algorithm. In this paper, we discuss and analyse existing maze solving algorithms, and investigate the recent development of autonomous maze solving robotic systems. In addition, the work presented in this paper guides the researcher and developer for choosing an adequate maze solving algorithm to develop an efficient maze solving robotic system for a certain scenario
Index Terms—maze, autonomous robot, maze solving, solver robot, maze solving algorithms
Cite: Shatha Alamri, Shuruq Alshehri, Wejdan Alshehri, Hadeel Alamri, Ahad Alaklabi, and Tareq Alhmiedat, "Autonomous Maze Solving Robotics: Algorithms and Systems," International Journal of Mechanical Engineering and Robotics Research, Vol. 10, No. 12, pp. 668-675, December 2021. DOI: 10.18178/ijmerr.10.12.668-675
Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
Copyright © 2015-2022 International Journal of Mechanical Engineering and Robotics Research, All Rights Reserved