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Reactive Navigation of Autonomous Mobile Robot Using Neuro-Fuzzy System
Maulin Mahesh Joshi, Mukesh A Zaveri
Pages - 128 - 145 | Revised - 01-07-2011 | Published - 05-08-2011
MORE INFORMATION
KEYWORDS
Reactive Navigation, Mobile Robot, Neural Network, Behavior Analysis, Discrete Sampling
ABSTRACT
Neuro-fuzzy systems have been used for robot navigation applications because of their ability to exert human like expertise and to utilize acquired knowledge to develop autonomous navigation strategies. In this paper, neuro-fuzzy based system is proposed for reactive navigation of a mobile robot using behavior based control. The proposed algorithm uses discrete sampling based optimal training of neural network. With a view to ascertain the efficacy of proposed system; the proposed neuro-fuzzy system’s performance is compared to that of neural and fuzzy based approaches. Simulation results along with detailed behavior analysis show effectiveness of our algorithm in all kind of obstacle environments.
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Mr. Maulin Mahesh Joshi
Sarvajanik College of Engineering and Technology,Surat - India
maulin.joshi@scet.ac.in
Dr. Mukesh A Zaveri
Sardar Vallabhbhai national Institute of Technology, Surat - India
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