Path planning method for mobile robot based on ant colony optimization algorithm

被引：8
|
作者：
Cen, Yuwan [1 ]
Song, Choingzhi [1 ]
Xie, Nenggang [1 ]
Wang, Lu [1 ]
机构：
[1] Anhui Univ Technol, Sch Mech Engn, Maanshan 243002, Anhui, Peoples R China
来源：
ICIEA 2008: 3RD IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, PROCEEDINGS, VOLS 1-3 | 2008年
关键词：
ant colony optimization (ACO); particle swarm optimization algorithm (PSO); path planning; mobile robot; process industry;
D O I：
10.1109/ICIEA.2008.4582528
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A novel path planning approach based on ACO was presented aiming at mobile robots in structured environments. The information of environment constrains and path length was integrated in the fitness function which was computed by neural network, the path nodes were viewed as an ant, so with the quality of optimization of ant colony optimization algorithm, the best path was found. Finally by computer simulation, it is got that the algorithm is rational and can be used in process industry warehouse patrol measurement mobile robot real-time navigation.
引用
收藏
页码：298 / 301
页数：4
相关论文
共 50 条
  • [11] Mobile Robot Path Planning Based on Ant Colony Algorithm With A* Heuristic Method
    Dai, Xiaolin
    Long, Shuai
    Zhang, Zhiwen
    Gong, Dawei
    FRONTIERS IN NEUROROBOTICS, 2019, 13
  • [12] Mobile Robot Path Planning Based on Improved Ant Colony Algorithm
    Su, Qinggang
    Yu, Wangwang
    Liu, Jun
    2021 ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS TECHNOLOGY AND COMPUTER SCIENCE (ACCTCS 2021), 2021, : 220 - 224
  • [13] Path optimization for mobile robot based on evolutionary ant colony algorithm
    Li T.
    Zhao H.-S.
    Kongzhi yu Juece/Control and Decision, 2023, 38 (03): : 612 - 620
  • [14] An improved ant colony optimization algorithm in mobile robot path planning
    Li, Hui
    Yang, Kang
    Luo, Wanbo
    Dong, Bo
    Qin, Wei
    Cong, Shuofeng
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 4102 - 4107
  • [15] Mobile Robot Path Planning Using Ant Colony Optimization
    Rashid, Razif
    Perumal, N.
    Elamvazuthi, I.
    Tageldeen, Momen Kamal
    Khan, M. K. A. Ahamed
    Parasuraman, S.
    2016 2ND IEEE INTERNATIONAL SYMPOSIUM ON ROBOTICS AND MANUFACTURING AUTOMATION (ROMA), 2016,
  • [16] Research on path planning of mobile robot based on improved ant colony algorithm
    Qiang Luo
    Haibao Wang
    Yan Zheng
    Jingchang He
    Neural Computing and Applications, 2020, 32 : 1555 - 1566
  • [17] Research on path planning of mobile robot based on improved ant colony algorithm
    Luo, Qiang
    Wang, Haibao
    Zheng, Yan
    He, Jingchang
    NEURAL COMPUTING & APPLICATIONS, 2020, 32 (06) : 1555 - 1566
  • [18] Research on path planning of mobile robot based on improved ant colony algorithm
    Wang Rui
    Wang Jinguo
    Wang Na
    PROCEEDINGS OF THE 2015 JOINT INTERNATIONAL MECHANICAL, ELECTRONIC AND INFORMATION TECHNOLOGY CONFERENCE (JIMET 2015), 2015, 10 : 1085 - 1088
  • [19] Research on path planning of mobile robot based on improved ant colony algorithm
    Jiang M.
    Wang F.
    Ge Y.
    Sun L.
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2019, 40 (02): : 113 - 121
  • [20] Mobile Robot Path Planning Based on Angle Guided Ant Colony Algorithm
    Li, Yongsheng
    Huang, Yinjuan
    Xuan, Shibin
    Li, Xi
    Wu, Yuang
    ADVANCES IN SWARM INTELLIGENCE, ICSI 2022, PT I, 2022, : 217 - 229
12345