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    ASIA unversity > 資訊學院 > 資訊傳播學系 > 期刊論文 >  Item 310904400/19037


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/19037


    Title: Collision avoidance by fuzzy logic control for automated guided vehicle navigation
    Authors: 王玲玲;Wang, Ling-Ling
    Contributors: 資訊傳播學系
    Date: 1994-12
    Issue Date: 2012-11-26 15:16:12 (UTC+8)
    Abstract: A fuzzy approach to collision avoidance for automated guided vehicle (AGV) navigation is proposed. Static obstacles with no a priori position information as well as moving obstacles with unknown trajectories are considered in this study. Intuitive and subjective human ideas of collision avoidance are modeled into fuzzy rules. Fuzzy logic is applied in the inference procedure for AGV navigation, such that the AGV is guided from the starting point toward the target without colliding with obstacles. Furthermore, the proposed method can also be used for the navigation of multiple AGVs, where each AGV must avoid other AGVs as well as obstacles in the environment. Simulation results are presented to show the feasibility of the proposed fuzzy approach.
    Relation: JOURNAL OF ROBOTIC SYSTEMS
    Appears in Collections:[資訊傳播學系] 期刊論文

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