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
来源：
SEVENTH INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND CONTROL TECHNOLOGY: SENSORS AND INSTRUMENTS, COMPUTER SIMULATION, AND ARTIFICIAL INTELLIGENCE | 2008年 / 7127卷
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
  • [41] Mobile Robot Path Planning Based on Artificial Potential Field Method
    Zhang, Baofeng
    Wang, Yachun
    Zhang, Xiaoling
    APPLIED DECISIONS IN AREA OF MECHANICAL ENGINEERING AND INDUSTRIAL MANUFACTURING, 2014, 577 : 350 - +
  • [42] Path Planning Method of Bidirectional Robot Based on Time Window Model
    Wang, Chen
    Mao, Jian
    Computer Engineering and Applications, 2024, 57 (23) : 287 - 294
  • [43] Path Planning Method for Mobile Robot Based on Multiple Improved PSO
    He Jingjing
    Li Xun
    Ma Wenzhe
    Yun Xin
    Yan Dong
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 1485 - 1489
  • [44] Path Planning Research for Mobile Robot Based on the Circle Scanning Method
    Shu-rong, Li
    Guang-jin, Yu
    Na, Li
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 1698 - 1703
  • [45] Path planning method for mobile robot based on a hybrid learning approach
    Gao, Yuan-Yuan
    Ruan, Xiao-Gang
    Song, Hong-Jun
    Yu, Jian-Jun
    Kongzhi yu Juece/Control and Decision, 2012, 27 (12): : 1822 - 1827
  • [46] A Mobile Robot Path Planning Method Based on Safe Pathfinding Guidance
    Bie, Tong
    Zhu, Xiaoqing
    Li, Xiaoli
    Ruan, Xiaogang
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 3297 - 3303
  • [47] A novel path planning method for biomimetic robot based on deep learning
    Lu, Yang
    Yi, Shujuan
    Liu, Yurong
    Ji, Yuling
    ASSEMBLY AUTOMATION, 2016, 36 (02) : 186 - 191
  • [48] Mobile robot path planning based on ORCA and improved DWA method
    Dai, Juan
    Jing, Yanzhang
    Su, Zhong
    Zhu, Cui
    INTERNATIONAL JOURNAL OF CONTROL, 2025,
  • [49] A Robot Path Planning Method Based on Synergy Behavior of Cockroach Colony
    Cheng, Le
    Chang, Lyu
    Song, Yanhong
    Wang, Haibo
    Bian, Yuetang
    INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2023, 20 (05) : 717 - 726
  • [50] A FAST PATH PLANNING METHOD OF ROBOT FOR SURVEILLANCE MISSIONS BASED ON CHAOS
    Nasr, Salah
    Mekki, Hassen
    Bouallegue, Kais
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2019, 34 (05): : 468 - 476
12345