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A study on obstacle avoidance for mobile robot based on fuzzy logic control and adaptive rotation

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2 Author(s)
Sufang Wen ; Dept. of Control Sci. & Control Eng., Inner Mongolia Univ. of Technol., Hohhot, China ; Lin Wang

This paper presents a fuzzy logic control algorithm for the obstacle avoidance of mobile robot in unknown environment. A reasonable and applicable control response table is constructed by using fuzzy inference. Meanwhile, in dealing with the deadlock problem, the algorithm offers an adaptive rotation angle based on the detection distance. Simulation results in different kinds of environments prove the effectiveness and feasibility of the algorithm.

Published in:

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Date of Conference:

6-8 July 2012

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