The Research on Multi-AGV Path Planning

被引：0
|
作者：
Cheng, Yang [1 ]
Liu, Qing [1 ]
Xie, Zhaoqing [1 ]
机构：
[1] Wuhan Univ Technol, Sch Automat, 122 Luoshi Rd, Wuhan 430070, Hubei, Peoples R China
来源：
CONFERENCE PROCEEDINGS OF THE 6TH INTERNATIONAL SYMPOSIUM ON PROJECT MANAGEMENT (ISPM2018) | 2018年
基金：
中国国家自然科学基金;
关键词：
AGV; Path planning; Mathematical model; NGA;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
With the increasing demands on production efficiency and automation of modern factories or construction sites, the use of AGV (Automated Guided Vehicle) has become more and more. This paper is aimed at multi-AGV path planning in dynamic environment of automated production workshop. Firstly, the mathematical model of the problem is established. Then, the improved niche genetic algorithm is designed. Finally, three collision-free optimal paths are obtained by MATLAB simulation.
引用
收藏
页码：862 / 867
页数：6
相关论文
共 50 条
  • [21] Research on pull-type multi-AGV system dynamic path optimization based on time window
    Shan, Hongying
    Wang, Chuang
    Zou, Cungang
    Qin, Mengyao
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2021, 235 (07) : 1944 - 1955
  • [22] A parallel algorithm for multi-AGV systems
    Yu, Dingding
    Hu, Xianliang
    Liang, Kewei
    Ying, Jun
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2022, 13 (04) : 2309 - 2323
  • [23] Research on Multi-AGV Task Allocation in Train Unit Maintenance Workshop
    Zhao, Nan
    Feng, Chun
    [J]. MATHEMATICS, 2023, 11 (16)
  • [24] Real-Time Conflict-Free Task Assignment and Path Planning of Multi-AGV System in Intelligent Warehousing
    Zhang, Wenbo
    Peng, Yonggang
    Wei, Wei
    Kou, Liwei
    [J]. 2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 5311 - 5316
  • [25] A parallel algorithm for multi-AGV systems
    Dingding Yu
    Xianliang Hu
    Kewei Liang
    Jun Ying
    [J]. Journal of Ambient Intelligence and Humanized Computing, 2022, 13 : 2309 - 2323
  • [26] Research on Multi-AGV/RGV Scheduling Method in Intensive Storage Environment
    Zhou, Yaqin
    Wang, Junliang
    Lü, Zhijun
    Xiang, Qian
    Ding, Yang
    Zhang, Jie
    [J]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2021, 57 (10): : 245 - 256
  • [27] Simulator of multi-AGV robotic industrial environments
    Petrinec, K
    Kovacic, Z
    Marozin, A
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS 1 AND 2, PROCEEDINGS, 2003, : 979 - 983
  • [28] Research on Multi-AGV Autonomous Obstacle Avoidance Strategy Based on Improved A* Algorithm
    Jia, Fang
    Liu, Xiaolong
    Wu, Jichao
    Shi, Yunde
    Xu, Fengyu
    Zhang, Z. S.
    [J]. PROCEEDINGS OF THE 2018 25TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP), 2018, : 126 - 131
  • [29] A Multi-AGV Routing Planning Method Based on Deep Reinforcement Learning and Recurrent Neural Network
    Lin, Yishuai
    Hue, Gang
    Wang, Liang
    Li, Qingshan
    Zhu, Jiawei
    [J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2024, 11 (07) : 1720 - 1722
  • [30] Optimizing Port Multi-AGV Trajectory Planning through Priority Coordination: Enhancing Efficiency and Safety
    Chen, Yongjun
    Shi, Shuquan
    Chen, Zong
    Wang, Tengfei
    Miao, Longkun
    Song, Huiting
    [J]. AXIOMS, 2023, 12 (09)
12345