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• W2773360876 abstract "This 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." @default.
• W2773360876 created "2017-12-22" @default.
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• W2773360876 date "2017-09-01" @default.
• W2773360876 modified "2023-09-29" @default.
• W2773360876 title "Canfis based robotic navigation" @default.
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• W2773360876 doi "https://doi.org/10.1109/icacci.2017.8126081" @default.
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