Fuzzy Logic System Based Obstacle Avoidance for a Mobile Robot

被引：0

作者：

Jin, Sheng ^{[1
]}

Choi, Byung-Jae ^{[1
]}

机构：

[1] Daegu Univ, Sch Elect Engn, Jillyang Gyeongsan City, Gyeongbuk, South Korea

来源：

CONTROL AND AUTOMATION, AND ENERGY SYSTEM ENGINEERING | 2011年 / 256卷

关键词：

fuzzy control; intelligent obstacle avoidance; mobile robot;

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：

In this paper we present an obstacle avoidance control algorithm for mobile robot based on SFLC (simple fuzzy logic controller). With efficient fuzzy logic look-up table to replace the traditional complicated operation. This method has better performance than traditional methods in efficiency. The SFLC output of even a wheel to control direction and speed of obstacle avoidance. Set a number of obstacles on the path in the simulation. And let the robot automatically to the target. Experiments show that the robot has a good obstacle avoidance path and efficiency.

引用

页码：1 / 6

页数：6