A Novel Approach to Maze Solving Algorithm

Yash Gajanan Pame, V. G. Kottawar, Yogeshwari V Mahajan
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Abstract

This research aims to address the maze discovery issue of an autonomous micro-mouse bot in an unknown maze. In this paper, An algorithm is proposed to search for unknown mazes and find the shortest path. The maze considered here is built according to the IEEE standards. To map the maze, we use a 2-Dimensional matrix to mark the visited and unvisited squares of the maze and a 2-Dimensional list is used to store the path travelled by the bot and a variable is defined which stores the current location of the bot with respect to the maze and the matrix. Our task is to discover the maze and then find the shortest distance to reach the target square in the maze. Every movement of the micro-mouse is stored in a list and this list is converted to a graph-like structure on which we apply a variant of the Breadth-first Search Algorithm to get the shortest path. But the proposed algorithm is also flexible to use other algorithms such as Depth-first search or A*. This paper presents an easy approach to the IEEE standard robot maze-solving algorithm.
一种新的迷宫求解算法
本研究旨在解决自主微型小鼠机器人在未知迷宫中的迷宫发现问题。本文提出了一种搜索未知迷宫并寻找最短路径的算法。这里考虑的迷宫是根据IEEE标准构建的。为了映射迷宫,我们使用一个二维矩阵来标记迷宫中访问过和未访问过的方块,使用一个二维列表来存储机器人走过的路径,并定义一个变量来存储机器人相对于迷宫和矩阵的当前位置。我们的任务是发现迷宫,然后在迷宫中找到到达目标方块的最短距离。微鼠标的每一次移动都被存储在一个列表中,这个列表被转换成一个类似图的结构,我们在这个结构上应用一种宽度优先搜索算法的变体来获得最短路径。但该算法也可以灵活地使用其他算法,如深度优先搜索或A*。本文提出了一种简易的IEEE标准机器人迷宫求解算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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