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Open AccessArticle

Sensor Fusion Based Model for Collision Free Mobile Robot Navigation

Computer Science and Engineering Department, University of Bridgeport, 126 Park Ave, Bridgeport, CT 06604, USA
Authors to whom correspondence should be addressed.
Academic Editors: Lianqing Liu, Ning Xi, Wen Jung Li, Xin Zhao and Yajing Shen
Sensors 2016, 16(1), 24;
Received: 26 October 2015 / Revised: 21 December 2015 / Accepted: 23 December 2015 / Published: 26 December 2015
(This article belongs to the Special Issue Sensors for Robots)
Autonomous mobile robots have become a very popular and interesting topic in the last decade. Each of them are equipped with various types of sensors such as GPS, camera, infrared and ultrasonic sensors. These sensors are used to observe the surrounding environment. However, these sensors sometimes fail and have inaccurate readings. Therefore, the integration of sensor fusion will help to solve this dilemma and enhance the overall performance. This paper presents a collision free mobile robot navigation based on the fuzzy logic fusion model. Eight distance sensors and a range finder camera are used for the collision avoidance approach where three ground sensors are used for the line or path following approach. The fuzzy system is composed of nine inputs which are the eight distance sensors and the camera, two outputs which are the left and right velocities of the mobile robot’s wheels, and 24 fuzzy rules for the robot’s movement. Webots Pro simulator is used for modeling the environment and the robot. The proposed methodology, which includes the collision avoidance based on fuzzy logic fusion model and line following robot, has been implemented and tested through simulation and real time experiments. Various scenarios have been presented with static and dynamic obstacles using one robot and two robots while avoiding obstacles in different shapes and sizes. View Full-Text
Keywords: autonomous mobile robots; collision avoidance; path following; fusion; fuzzy logic autonomous mobile robots; collision avoidance; path following; fusion; fuzzy logic
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Almasri, M.; Elleithy, K.; Alajlan, A. Sensor Fusion Based Model for Collision Free Mobile Robot Navigation. Sensors 2016, 16, 24.

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