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CANFIS based robotic navigation

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017

Campus : Coimbatore

School : Department of Education

Center : Computational Engineering and Networking

Department : Electrical and Electronics, Electronics and Communication

Year : 2017

Abstract : pThis paper aims at developing a sensor-based Co-Active adaptive neuro-fuzzy inference system (CANFIS) for solving navigation problems of the mobile robot in an uncertain environment. The infrared sensor reads the distances of right, front and left obstacle. The collision-free path is accomplished by CANFIS controller which selects the desired steering angle by construing the obstacle distance information measured by the infrared sensor. The simulation of CANFIS based algorithm provides more precise steering angle, which implements the navigation task securely and efficiently in an environment populated with static obstacles. © 2017 IEEE./p

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