Open AccessMobile Robot Navigation and Obstacle-avoidance using ANFIS in Unknown Environment
Author(s) -
Mohammed Algabri,
Hassan Mathkour,
Ramdane Hedjar
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/15952-5400
Subject(s) - obstacle avoidance , computer science , mobile robot , obstacle , artificial intelligence , computer vision , robot , human–computer interaction , simulation , law , political science
Navigation and obstacle avoidance in an unknown environment is proposed in this paper using hybrid neural network with fuzzy logic controller. The overall system is termed as Adaptive Neuro Fuzzy Inference System (ANFIS). ANFIS combines the benefits of fuzzy logic and neural networks for the purpose of achieving robotic navigation task. Simulation results are presented using Khepera Simulator (KiKs) within MATLAB environment. Moreover, experimental results are obtained using Khepera III platform.
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