Fuzzy Logic based Sensors data Fusion for Mobile robot navigation

被引：1
|
作者：
Parasuraman, S. [1 ]
Shirinzadeh, Bijan [2 ]
机构：
[1] Monash Univ, Sch Engn, Sunway Campus, Selangor Darul Ehsan 46150, Malaysia
[2] Monash Univ, Fac Engn, Clayton, Vic 3800, Australia
来源：
MATERIALS, MECHATRONICS AND AUTOMATION, PTS 1-3 | 2011年 / 467-469卷
关键词：
Mobile Robot; Fuzzy Logic system; sensor fusion; Navigation; Fuzzy Associative memory;
D O I：
10.4028/www.scientific.net/KEM.467-469.794
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：794 / +
页数：2
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