Mobile robot path planning based on dynamic fuzzy artificial potential field method

被引:0
|
作者
Song, Qiang [1 ]
Liu, Lingxia [2 ]
机构
[1] Computer Department, Anyang Institute of Technology, Anyang 455000, China
[2] Computer Education Department, Anyang Normal University, Anyang 455000, China
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
11
引用
收藏
页码:5233 / 5240
相关论文
共 50 条
  • [31] Path Planning for Robot Based on Improved Artificial Potential Field
    Qiu, Guoqing
    Niu, Ting
    Kou, Qianqian
    Liu, Cheng
    PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MECHANICAL MATERIALS AND MANUFACTURING ENGINEERING (MMME 2016), 2016, 79 : 908 - 911
  • [32] Dynamic and Interactive Path Planning and Collision Avoidance for an Industrial Robot Using Artificial Potential Field Based Method
    Csiszar, A.
    Drust, M.
    Dietz, T.
    Verl, A.
    Brisan, C.
    MECHATRONICS: RECENT TECHNOLOGICAL AND SCIENTIFIC ADVANCES, 2011, : 413 - 421
  • [33] Robot path planning by artificial potential field optimization based on reinforcement learning with fuzzy state
    Zhuang, XD
    Meng, QC
    Yin, B
    Wang, HP
    PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4, 2002, : 1166 - 1170
  • [34] A New Artificial Potential Field Based Global Path Planning Algorithm for Mobile Robot Navigation
    Al Jabari, Hamzah
    Alobahji, Abdulrahman
    Baran, Fray A.
    2022 IEEE 17TH INTERNATIONAL CONFERENCE ON ADVANCED MOTION CONTROL (AMC), 2022, : 444 - 449
  • [35] Improved Artificial Potential Field and Dynamic Window Method for Amphibious Robot Fish Path Planning
    Yang, Wenlin
    Wu, Peng
    Zhou, Xiaoqi
    Lv, Haoliang
    Liu, Xiaokai
    Zhang, Gong
    Hou, Zhicheng
    Wang, Weijun
    APPLIED SCIENCES-BASEL, 2021, 11 (05): : 1 - 15
  • [36] Rea Time Robot Path Planning Method Based on Improved Artificial Potential Field Method
    Yan, Peng
    Yan, Zhuo
    Zheng, Hongxing
    Guo, Jifeng
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 4808 - 4814
  • [37] Robot Path Planning Based on Artificial Potential Field Method with Obstacle Avoidance Angles
    Wan J.
    Sun W.
    Ge M.
    Wang K.
    Zhang X.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2024, 55 (01): : 409 - 418
  • [38] Mobile robot path planning using membrane evolutionary artificial potential field
    Orozco-Rosas, Ulises
    Montiel, Oscar
    Sepulveda, Roberto
    APPLIED SOFT COMPUTING, 2019, 77 : 236 - 251
  • [39] An advanced potential field method proposed for mobile robot path planning
    Azzabi, Ameni
    Nouri, Khaled
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 41 (11) : 3132 - 3144
  • [40] A Potential Field Simulation Study for Mobile Robot Path Planning in Dynamic Environments
    Garibeh, Mohammad Hamdan
    Jaradat, Mohammad Abdel Kareem
    Rawashdeh, Nathir A.
    PROCEEDINGS OF THE 2019 20TH INTERNATIONAL CONFERENCE ON RESEARCH AND EDUCATION IN MECHATRONICS (REM 2019), 2019,