Navigation strategy of an intelligent mobile robot using fuzzy logic

被引：0
|
作者：
Choi, JW [1 ]
Kwon, SH [1 ]
Lee, HY [1 ]
Lee, SG [1 ]
机构：
[1] Yeungnam Univ, Sch Elect & Elect Engn, Gyongbuk 712749, South Korea
来源：
1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2 | 1998年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
When a robot confronts large, non-convex or scattered obstacles, it is apt to be trapped in the local minimum points. This paper suggests a new fuzzy algorithm to solve this problem using some simple data. The proposed algorithm has two-layered hierarchical structure such as lower layer for avoiding and approaching and upper layer for combination of these logic. Some computer simulation results for a mobile robot equipped with three ultrasonic range sensors show that the suggested navigation algorithm is very effective to escape from local minimum points under unknown environment.
引用
收藏
页码：602 / 605
页数：4
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