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Path planning for nuclear radiation environments based on an improved artificial potential field A* algorithm
RADIATION PROTECTION | 更新时间：2025-02-28
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    • Path planning for nuclear radiation environments based on an improved artificial potential field A* algorithm

    • “In a nuclear radiation environment, experts improved the A * algorithm to reduce nuclear radiation dose by 52.11% to 55.29% and enhance the effectiveness of path planning.”
    • Journal of Radiation Research and Radiation Processing   Vol. 40, Issue 6, Pages: 51-59(2022)

    • DOI：10.11889/j.1000-3436.2022-0054    

      CLC： TL72;TL77

    • Received：03 June 2022，

      Revised：07 September 2022，

      Accepted：2022-09-07，

      Published：20 December 2022

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  • QIU Mengwen,ZHANG Hua,ZHOU Huaifang.Path planning for nuclear radiation environments based on an improved artificial potential field A* algorithm[J].Journal of Radiation Research and Radiation Processing,2022,40(06):51-59. DOI： 10.11889/j.1000-3436.2022-0054.

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Related Author

ZHOU Huaifang
ZHANG Hua
QIU Mengwen
ZHAO Hengzhu
YANG Minghan
DENG Duocheng
WANG Jianye
YANG Zihui

Related Institution

School of Information & Engineering
Sichuan Key Laboratory of Special Enviromental Robotics, Southwest University of Science &Technology
Hefei Institutes of Physical Science, Chinese Academy of Sciences
University of Science and Technology of China
School of Information and Engineering, Southwest University of Science and Technology
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