A Comprehensive and Comparative Study Of Maze-SolvingTechniques by Implementing Graph Theory

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1

Abstract

 Abstract: This paper presents an efficient maze solving algorithm. IEEE has launched a competition named“Micro mouse” where an autonomous robot or mice solves an unknown maze. The mouse find its way from thestarting position to the central area of the maze without any intervention. To solve the maze, the miceimplements one of many different searching algorithms such as the DFS, flood fill, BFS, modified flood fill.Several algorithms which originate from graph theory (GT) and non-graph theory (NGT) are currently beingused to program the robot or mice. To compare the algorithms efficiency, they are simulated artificially and acomprehensive study is done by interpreting the statistics of interest.

Authors and Affiliations

Keshav Sharma , Chirag Munshi

Keywords

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  • EP ID EP89191
  • DOI -
  • Views 111
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How To Cite

Keshav Sharma, Chirag Munshi (2015).  A Comprehensive and Comparative Study Of Maze-SolvingTechniques by Implementing Graph Theory. IOSR Journals (IOSR Journal of Computer Engineering), 17(1), 24-29. https://www.europub.co.uk/articles/-A-89191