SIMULATION AND EXPERIMENTAL EVALUATION OF THE EKF SIMULTANEOUS LOCALIZATION AND MAPPING ALGORITHM ON THE WIFIBOT MOBILE ROBOT

被引：5
|
作者：
Ayadi, Noura [1 ]
Derbel, Nabil [1 ]
Morette, Nicolas [2 ]
Novales, Cyril [2 ]
Poisson, Gerard [2 ]
机构：
[1] Natl Sch Engn, Dept Elect Engn, BW 3038, Sfax, Tunisia
[2] PRISME Inst, 63 Lattre Tassigny, Bourges, France
来源：
JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH | 2018年 / 8卷 / 02期
关键词：
mobile robot; localisation; EKF; SLAM; consistency; SLAM; MAP;
D O I：
10.1515/jaiscr-2018-0006
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In recent years, autonomous navigation for mobile robots has been considered a highly active research field. Within this context, we are interested to apply the Simultaneous Localization And Mapping (SLAM) approach for a wheeled mobile robot. The Extended Kalman Filter has been chosen to perform the SLAM algorithm. In this work, we explicit all steps of the approach. Performances of the developed algorithm have been assessed through simulation in the case of a small scale map. Then, we present several experiments on a real robot that are proceeded in order to exploit a programmed SLAM unit and to generate the navigation map. Based on experimental results, simulation of the SLAM method in the case of a large scale map is then realized. Obtained results are exploited in order to evaluate and compare the algorithm's consistency and robustness for both cases.
引用
收藏
页码：91 / 101
页数：11
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