Using flood-fill algorithms for an autonomous mobile robot maze navigation

Mohamed Nadour () and Lakhmissi Cherroun ()
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Mohamed Nadour: University of Djelfa
Lakhmissi Cherroun: University of Djelfa

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 1, No 40, 546-555

Abstract: Abstract Autonomous robotic navigation in unknown and complex environment as mazes is an important task for the wheeled mobile robots. Different algorithms have been used to deal with this problem, where the most known are based on optimization processes in order to find the optimal path safely. The present paper describes an implementation of a simple maze-solving algorithms based on Arduino-UNO card. The two versions of flood-fill algorithms are used for mobile robot maze navigation: the basic version of flood-fill algorithm (FFA) and the modified flood-fill algorithm (MFFA). Ultrasonic sensors are used to perceive, detect walls and the maze shape. The obtained experimental results demonstrate the efficiency of these implemented algorithms to autonomous robot navigation. In all cases, the controlled wheeled mobile robot is able to move in the maze safely, and can solve it effectively and autonomously.

Keywords: Optimization; Flood-fill algorithm; Maze; Mapping; Flooding; Autonomous motion; Updating; Detection (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-022-01630-4

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