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Sensors 2012, 12(10), 13947-13963; doi:10.3390/s121013947
Article
Implementation of Obstacle-Avoidance Control for an Autonomous Omni-Directional Mobile Robot Based on Extension Theory
Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
* Author to whom correspondence should be addressed.
Received: 27 July 2012; in revised form: 8 October 2012 / Accepted: 10 October 2012 / Published: 16 October 2012
(This article belongs to the Section Physical Sensors)
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Abstract: The paper demonstrates a following robot with omni-directional wheels, which is able to take action to avoid obstacles. The robot design is based on both fuzzy and extension theory. Fuzzy theory was applied to tune the PMW signal of the motor revolution, and correct path deviation issues encountered when the robot is moving. Extension theory was used to build a robot obstacle-avoidance model. Various mobile models were developed to handle different types of obstacles. The ultrasonic distance sensors mounted on the robot were used to estimate the distance to obstacles. If an obstacle is encountered, the correlation function is evaluated and the robot avoids the obstacle autonomously using the most appropriate mode. The effectiveness of the proposed approach was verified through several tracking experiments, which demonstrates the feasibility of a fuzzy path tracker as well as the extensible collision avoidance system.
Keywords: extension theory; fuzzy theory; obstacle-avoidance; omni-directional mobile robot; ultrasonic sensors
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MDPI and ACS Style
Pai, N.-S.; Hsieh, H.-H.; Lai, Y.-C. Implementation of Obstacle-Avoidance Control for an Autonomous Omni-Directional Mobile Robot Based on Extension Theory. Sensors 2012, 12, 13947-13963.
AMA StylePai N-S, Hsieh H-H, Lai Y-C. Implementation of Obstacle-Avoidance Control for an Autonomous Omni-Directional Mobile Robot Based on Extension Theory. Sensors. 2012; 12(10):13947-13963.
Chicago/Turabian StylePai, Neng-Sheng; Hsieh, Hung-Hui; Lai, Yi-Chung. 2012. "Implementation of Obstacle-Avoidance Control for an Autonomous Omni-Directional Mobile Robot Based on Extension Theory." Sensors 12, no. 10: 13947-13963.