Fuzzy Logic Based Sensors Data Fusion for Mobile Robot Navigation

Abstract:

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In this paper, a sensor data fusion technique is proposed to develop the effective robot navigation and optimize the navigation rules using a Modified Fuzzy Associative Memory (MFAM). MFAM provides good flexibility to use multiple input space and reduction of rule base for robot navigation. The behavior rules obtained from MFAM model are tested using the experimental studies and results are discussed and compared with the existing methods.

Info:

Periodical:

Key Engineering Materials (Volumes 467-469)

Edited by:

Dehuai Zeng

Pages:

794-799

DOI:

10.4028/www.scientific.net/KEM.467-469.794

Citation:

S. Parasuraman and B. Shirinzadeh, "Fuzzy Logic Based Sensors Data Fusion for Mobile Robot Navigation", Key Engineering Materials, Vols. 467-469, pp. 794-799, 2011

Online since:

February 2011

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Price:

$35.00

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