Robot path planning based on artificial potential field approach with simulated annealing

被引：0
|
作者：
Zhu, Qidan [1 ]
Yan, Yongjie [1 ]
Xing, Zhuoyi [1 ]
机构：
[1] Harbin Engn Univ, Coll Automat, Harbin, Peoples R China
来源：
ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 2 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The artificial potential field (APF) approach provides a simple and effective motion planning method for Practical purpose. However, artificial potential field approach has a major problem, which is that the robot is easy to be trapped at a local minimum before reaching its,goal. The avoidance of local minimum has been an active research topic in path planning by potential field. In this paper, we introduce several methods to solve this problem, emphatically, introduce and evaluate the artificial potential field approach with simulated annealing (SA). As one of the powerful techniques for escaping local minimum, simulated annealing has been applied to local and global path planning..
引用
收藏
页码：622 / +
页数：2
相关论文
共 50 条
  • [31] A path planning algorithm for mobile robot based on combined fuzzy and Artificial Potential Field
    Tian Jingwen
    Zhou Ha
    Gao Meijuan
    Li Kai
    [J]. ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION, PROCEEDINGS, 2007, : 55 - 58
  • [32] Mobile robot path planning based on dynamic fuzzy artificial potential field method
    Song, Qiang
    Liu, Lingxia
    [J]. Journal of Information and Computational Science, 2012, 9 (17): : 5233 - 5240
  • [33] A Hybrid Path Planning Method for Mobile Robot Based on Artificial Potential Field Method
    Kong, Haiyi
    Yang, Chenguang
    Ju, Zhaojie
    Liu, Jinguo
    [J]. INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2019, PART VI, 2019, 11745 : 325 - 331
  • [34] Mobile Robot Static Path Planning Based on Genetic Simulated Annealing Algorithm
    Wang Yan-ping
    Wu Bing
    [J]. PROCEEDINGS OF THE 14TH YOUTH CONFERENCE ON COMMUNICATION, 2009, : 358 - +
  • [35] Dynamic path planning of mobile robot based on improved simulated annealing algorithm
    Shi, Kun
    Wu, Zhengtian
    Jiang, Baoping
    Karimi, Hamid Reza
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 360 (06): : 4378 - 4398
  • [36] A modified Artificial Potential Field Algorithm for Mobile Robot Path Planning
    Qi, Ningning
    Ma, Bojun
    Liu, Xian'en
    Zhang, Zhenxin
    Ren, Dongchun
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 2603 - +
  • [37] Path planning for USV based on artificial potential field approach with learning automata
    Xiong, Chunshui
    Wu, Wei
    Wu, Rui
    Zhao, Dongming
    [J]. SUSTAINABLE DEVELOPMENT AND INNOVATIONS IN MARINE TECHNOLOGIES, IMAM 2022, 2023, 9 : 335 - 342
  • [38] Evolutionary artificial potential field - Applications to mobile robot path planning
    Vadakkepat, P
    Lee, TH
    Xin, L
    [J]. AUTONOMOUS ROBOTIC SYSTEMS: SOFT COMPUTING AND HARD COMPUTING METHODOLOGIES AND APPLICATIONS, 2003, 116 : 217 - 232
  • [39] APF-CPP: An Artificial Potential Field Based Multi-Robot Online Coverage Path Planning Approach
    Wang, Zikai
    Zhao, Xiaoqi
    Zhang, Jiekai
    Yang, Nachuan
    Wang, Pengyu
    Tang, Jiawei
    Zhang, Jiuzhou
    Shi, Ling
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (11): : 9199 - 9206
  • [40] A New Artificial Potential Field Based Global Path Planning Algorithm for Mobile Robot Navigation
    Al Jabari, Hamzah
    Alobahji, Abdulrahman
    Baran, Fray A.
    [J]. 2022 IEEE 17TH INTERNATIONAL CONFERENCE ON ADVANCED MOTION CONTROL (AMC), 2022, : 444 - 449
12345