Design and Implementation of Autonomous Maze-Solving Robot based on an Enhanced Maze Solving Techniques

In this article, the design of a self-governing robot that solves mazes integrating distance sensors is presented and wheel pivot encoders to navigate through unknown areas based on its decision-making capabilities. The robot efficiently solves mazes by following the shortest path and storing the past information for future reference. The primary application of this robot is in navigation, and the paper explores the maze-solving algorithms while highlighting the advancements in autonomous maze-solving systems. The robot is equipped with wall recognizing distance sensors. The robot aims to operate in environments inaccessible or challenging for humans and can be instrumental in achieving specific objectives. The proposed algorithm utilizes the flood-fill approach for maze-solving. The flood-fill method is employed by the suggested algorithm to solve mazes.it is more effective than the methods used now. There are possible uses for this approach in robotic path finding and tracking.