Paper Title:
Fuzzy Logic Based Sensors Data Fusion for Mobile Robot Navigation
  Abstract

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, 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
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