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- W2061710265 abstract "This paper presents a design of behavior-fusion architecture for mobile robot navigation. We first design three behaviors for robot navigation, including obstacle avoidance, wall following, and goal seeking. We implement these primitive behaviors by using fuzzy-logic control approaches. Then, the fusion weight of each behavior is determined by using the proposed behavior-fusion neural network. The neural network maps the current environment sensor data to suitable fusion weights. Both computer simulation and practical experiments verify the effectiveness of the method." @default.
- W2061710265 created "2016-06-24" @default.
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- W2061710265 date "2006-10-01" @default.
- W2061710265 modified "2023-09-26" @default.
- W2061710265 title "Behavior Fusion of Robot Navigation Using a Fuzzy Neural Network" @default.
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- W2061710265 doi "https://doi.org/10.1109/icsmc.2006.385083" @default.
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