Simulation of Autonomous Navigation Mobile Robot System

Abstract

The goal of real-time mobile robots is to travel in the shortest path between two points in a navigation environment. Autonomous navigation allows robots to planning this path without the need for human intervention. In this paper, Autonomous navigation mobile robot system has been simulated by MATLAB which a camera is used to snapshotting robot environment represented by maze while image processing techniques are used for extracting maze parameters. These parameters are used to planning the shortest path between start point and target based on Depth-first Search (DFS) and Breadth-first Search (BFS) searching algorithms.