Obstacle Avoidance Path Planning of Space Manipulator Based on Improved Artificial Potential Field Method

被引:35
|
作者
Liu S. [1 ]
Zhang Q. [1 ]
Zhou D. [1 ]
机构
[1] Key Laboratory of Advanced Design and Intelligent Computing (Dalian University), Ministry of Education, Dalian
来源
Zhang, Q. (zhangq30@yahoo.com) | 1600年 / Springer卷 / 95期
关键词
Artificial potential field method; Obstacle avoidance; Path planning; Space manipulator;
D O I
10.1007/s40032-014-0099-z
中图分类号
学科分类号
摘要
This paper proposes an approach about obstacle collision-free motion planning of space manipulator by utilizing a Configuration-Oriented Artificial Potential Field method in 3-D space environment. Firstly, the artificial potential field method, which is usually used in 2-D space, is extended to 3-D space. Secondly, improving the artificial potential field method enables to carry out obstacle avoidance planning for the configuration of entire space manipulator (including the end-effector and links). Finally, the approach is combined with the inverse kinematics calculation which is based on the Generalized Jacobian Matrix for planning a collision-free motion of space manipulator. At the end of the article, by simulating the method mentioned above, the validity of the proposed method is verified. © 2014, The Institution of Engineers (India).
引用
收藏
页码:31 / 39
页数:8
相关论文
共 50 条
  • [1] Improved Manipulator Obstacle Avoidance Path Planning Based on Potential Field Method
    Zhao, Ming
    Lv, Xiaoqing
    JOURNAL OF ROBOTICS, 2020, 2020
  • [2] Path Planning and Evaluation for Obstacle Avoidance of Manipulator Based on Improved Artificial Potential Field and Danger Field
    Zhao, Jiangbo
    Zhao, Qiang
    Wang, Junzheng
    Zhang, Xin
    Wang, Yanlong
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 3018 - 3025
  • [3] Obstacle Avoidance Path Planning for Space Manipulator Based on Improved Probability Roadmap Method
    Fei, Junting
    Chen, Gang
    Jia, Qingxuan
    Liu, Dan
    PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019), 2019, : 1963 - 1968
  • [4] Mechanical arm obstacle avoidance path planning based on improved artificial potential field method
    Xu, Tianying
    Zhou, Haibo
    Tan, Shuaixia
    Li, Zhiqiang
    Ju, Xia
    Peng, Yichang
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2022, 49 (02): : 271 - 279
  • [5] Path Planning for Obstacle Avoidance of Manipulators Based on Improved Artificial Potential Field
    Chen, Zhongyi
    Ma, Lin
    Shao, Zhijiang
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 2991 - 2996
  • [6] Intelligent obstacle avoidance path planning method for picking manipulator combined with artificial potential field method
    Fang, Zheng
    Liang, Xifeng
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2022, 49 (05): : 835 - 850
  • [7] Obstacle avoidance path planning for manipulator based on variable-step artificial potential method
    Guan, Wei
    Weng, Zhengxin
    Zhang, Jie
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 4325 - 4329
  • [8] Obstacle Avoidance of Manipulator Based on Artificial Potential Field in Joint Space
    Bai, Yu
    Wang, Yipeng
    Li, Weihua
    Wang, Jianfeng
    PROCEEDINGS OF THE 36TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC 2024, 2024, : 5792 - 5797
  • [9] 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
  • [10] Research on Multi-UAV Path Planning and Obstacle Avoidance Based on Improved Artificial Potential Field Method
    Lai, Dongcheng
    Dai, Jiyang
    2020 IEEE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS, ROBOTICS AND AUTOMATION (ICMRA 2020), 2020, : 84 - 88