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Path Finder: An Autonomous Robot Based On Feedback Mechanism


     

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Building a robot requires expertise and complex programming techniques. It is all about building systems and combining together motors, flame sensors and wires, among other important components. This paper includes the design and construction of a robot that is able to sense, find the shortest path and detect the obstacles. This robot implements the following concepts: environmental sensing and proportional obstacle detection. This robot processes information from its various sensors and key hardware elements via ARM processors. It uses ultrasonic sensor to detect the obstacle and LCD display to visualize the path selected by the robot. This robot is capable of moving from one coordinate point to another coordinate point, that is, from a fixed source to destination. Then it detects the shortest path from source to destination among many available paths. In Rovers, the robot movements and its positions can be measured. The dijkstra’s algorithm is used to detect the shortest path and also enhance the path efficiency.  The experimental results show the shortest path as a MATLAB graph.


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  • Path Finder: An Autonomous Robot Based On Feedback Mechanism

Abstract Views: 219  |  PDF Views: 2

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Abstract


Building a robot requires expertise and complex programming techniques. It is all about building systems and combining together motors, flame sensors and wires, among other important components. This paper includes the design and construction of a robot that is able to sense, find the shortest path and detect the obstacles. This robot implements the following concepts: environmental sensing and proportional obstacle detection. This robot processes information from its various sensors and key hardware elements via ARM processors. It uses ultrasonic sensor to detect the obstacle and LCD display to visualize the path selected by the robot. This robot is capable of moving from one coordinate point to another coordinate point, that is, from a fixed source to destination. Then it detects the shortest path from source to destination among many available paths. In Rovers, the robot movements and its positions can be measured. The dijkstra’s algorithm is used to detect the shortest path and also enhance the path efficiency.  The experimental results show the shortest path as a MATLAB graph.