Application of Fuzzy Neural Networks in Robotic Path Planning

被引：0
|
作者：
Mirza, Nada Masood [1 ]
机构：
[1] Al Ain Univ, Coll Engn, Al Ain, U Arab Emirates
来源：
2019 INTERNATIONAL ARAB CONFERENCE ON INFORMATION TECHNOLOGY (ACIT) | 2019年
关键词：
neural networks; fuzzy logic; obstacle avoidance; path planning;
D O I：
10.1109/acit47987.2019.8991028
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper essentially discusses different methodologies of Fuzzy Neural Networks which are implemented to robust the functionality of mobile robots in dynamic and static environment. Fusion of algorithms is important to increase the working of any system provided. Different kind of mobile robots along with various algorithms frameworks are taken as case studies for this paper. Due to the reason that typical mathematical models used to make robots mobile in real environment were not very useful as they were not catering for the limitation of robotic system memory. Thus new methodologies are being discussed and implemented by robotics research community.
引用
收藏
页码：58 / 62
页数：5
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