Application of Fuzzy Neural Networks in Robotic Path Planning

Abstract

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.