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    Please use this identifier to cite or link to this item: http://ir.lib.ksu.edu.tw/handle/987654321/20357

    Authors: Zou, Jie-Tong
    Kuang-Wei Huang
    Chi-Yi Wang
    Contributor: Department of Aeronautical Engineering, National Formosa University
    Keywords: unmanned aerial vehicle (UAV)
    aerial robot
    multi-sensors fusion
    obstacle avoidance
    Date: 2013-11-02
    Issue Date: 2013-11-14 12:09:11 (UTC+8)
    Abstract: Due to the unmanned aerial vehicle (UAV) has the advantages of light weight, small size, and better dynamic performance, it has always been the highlight on research topics in recent years. Today, as the micro electro- echanical systems (MEMS) is booming rapidly, various sensors and intelligent functions that applied in robots can be transferred and applied to the hexa-rotor aerial robot, as this will make the hexa-rotor become an intelligent robot that can fly. In this research, the dynamic model of the hexa-rotor aerial robot had been studied. The multi- ensor weighted fusion algorithm had been applied to the hexa-rotor aerial robot, and the feasibility had been verified through experiments.
    In this research, the multi-sensors fusion algorithm had been applied to the hexa-rotor aerial robot for several functions. The barometric altimeter and ultrasonic sensors were used for altitude hold flight. The infrared sensors and ultrasonic sensors were used for obstacle avoidance. The optical flow sensor was used to guide the hexa-rotor aerial robot to hover around a fixed position in an indoor environments without the GPS positioning. From the experiment results, the hexa-rotor aerial robot can make a fix position flight without GPS positioning, and can avoid the obstacles successfully in extensive range.
    Appears in Collections:[機械工程系所] Automation 2013- The 12th International Conference on Automation Technology

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