A new strategy for robot path planning based on the finite element method

被引:0
|
作者
Cao, Zhang [1 ]
Meng, Qinghao [2 ]
Wang, Huaxiang [2 ]
Xu, Lijun [1 ]
机构
[1] Beijing Univ Aeronaut & Astronaut, Sch Instrument Sci & Optoelect Engn, Beijing 100083, Peoples R China
[2] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China
关键词
path planning; model; finite element method; vector potential field;
D O I
10.1117/12.806839
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper discusses a new model that integrates the environment information for the robot path planning. This model could be regarded as a generalization of the artificial potential (AP) method. The path with the least turning angles, i.e. the smoothest, is defined as the optimal path. The finite element method is used to construct global optimum path planning strategy for a robot in a known environment for both static and dynamic cases. Simulation results show that this method is feasible for the path planning of a point robot in a complicated environment.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] A Path Tracking Method for the Snake Robot Based on the Path Edge Guidance Strategy
    Zhang D.
    Jiqiren/Robot, 2021, 43 (01): : 36 - 43
  • [32] Finite Element Method and Optimal Control Theory for Path Planning of Elastic Manipulators
    Korayem, M. H.
    Haghpanahi, M.
    Rahimi, H. N.
    Nikoobin, A.
    NEW ADVANCES IN INTELLIGENT DECISION TECHNOLOGIES, 2009, 199 : 117 - +
  • [33] A new path planning method of forging handling robot based on artificial immune anomaly recognition
    Shi, Kunju
    Xin, Shaojie
    Liu, Mingshuai
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2021, 128 : 147 - 148
  • [34] A New Hybrid Method in Global Dynamic Path Planning of Mobile Robot
    Song, X. R.
    Gao, S.
    Chen, C. B.
    Cao, K.
    Huang, J. R.
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2018, 13 (06) : 1032 - 1046
  • [35] Obstacle Avoidance Path Planning Strategy for Robot Arm Based on Fuzzy Logic
    Chen, Yanjie
    Wang, Yaonan
    Yu, Xiao
    2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS & VISION (ICARCV), 2012, : 1648 - 1653
  • [36] Adaptive Manipulability-Based Path Planning Strategy for Industrial Robot Manipulators
    Shen, Henghua
    Xie, Wen-Fang
    Tang, Jianyu
    Zhou, Tao
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 28 (03) : 1742 - 1753
  • [37] An improved RRT* path planning algorithm based on JPS strategy for mobile robot
    Ma X.
    Mei H.
    Wang B.
    Wu Z.
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2020, 28 (06): : 761 - 768
  • [38] Improved Robot Path Planning Method Based on Deep Reinforcement Learning
    Han, Huiyan
    Wang, Jiaqi
    Kuang, Liqun
    Han, Xie
    Xue, Hongxin
    SENSORS, 2023, 23 (12)
  • [39] Path Planning for Mobile Robot Based on an Improved Probabilistic Roadmap Method
    Liu Changan
    Chang Jingang
    Liu Chunyang
    CHINESE JOURNAL OF ELECTRONICS, 2009, 18 (03): : 395 - 399
  • [40] Path Planning for Robot based on Chaotic Artificial Potential Field Method
    Zhang, Cheng
    4TH INTERNATIONAL CONFERENCE ON ADVANCED ENGINEERING AND TECHNOLOGY (4TH ICAET), 2018, 317