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General Information
    • ISSN: 1793-8198
    • Frequency: Quarterly
    • DOI: 10.18178/IJMMM
    • Editor-in-Chief: Prof. K. M. Gupta, Prof. Ian McAndrew
    • Executive Editor: Ms. Cherry L. Chen
    • Abstracting/Indexing: EI (INSPEC, IET), Chemical Abstracts Services (CAS), Engineering & Technology Digital Library,  ProQuest, Crossref, Ulrich's Periodicals Directory, DOAJ, and Electronic Journals Library .
    • E-mail ijmmm@ejournal.net
Editor-in-chief
Prof. Ian McAndrew
Embry Riddle Aeronautical University, UK.
It is my honor to be the editor-in-chief of IJMMM. I will do my best to help develop this journal better.

IJMMM 2013 Vol.1(4): 366-370 ISSN: 1793-8198
DOI: 10.7763/IJMMM.2013.V1.79

The Investigation of the Obstacle Avoidance for Mobile Robot Based on the Multi Sensor Information Fusion technology

Qu Dongyue, Hu Yuanhang, and Zhang Yuting
Abstract—In order to accurately build a model about external environment of mobile robot, a robot multi-sensor system is designed. Ultrasonic sensor array adopt a distributed archi-tecture, infrared distance sensor use the design of class laser radar type, using multi-sensor information fusion technology, establish a 180 ° scrolling window in front of the robot, though the method of polar coordinates vector to obstacle detection and external environment model, using the “rolling window” obstacle avoidance algorithm, robots achieve autonomous obstacle avoidance and navigation in unknown environment. The experimental results confirmed that the robot system and the validity of the theory mentioned in this paper is valid and optimal.

Index Terms—Mobile robot, communication fusion, polar coordinate vector, rolling window.

Qu Dongyue and Hu Yuanhang are now with the Harbin Engineering University, China (e-mail: qudongyue@hrbeu.edu.cn, huyuanhanghgc@163.com). Zhang Yuting is with the Institute of Advanced Technology of Heilongjiang Academy of Science , China.

[PDF]

Cite:Qu Dongyue, Hu Yuanhang, and Zhang Yuting, "The Investigation of the Obstacle Avoidance for Mobile Robot Based on the Multi Sensor Information Fusion technology," International Journal of Materials, Mechanics and Manufacturing vol. 1, no. 4, pp. 366-370, 2013.

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