Path Planning for Batch Picking of Warehousing and Logistics Robots Based on Modified A* Algorithm

被引:9
|
作者
Duan, Li-Mei [1 ]
机构
[1] Kunming Met Coll, Kunming, Yunnan, Peoples R China
关键词
warehousing and logistics robot; A* algorithm; path planning; batch picking;
D O I
10.3991/ijoe.v14i11.9527
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
To make the picking path planning of warehousing and logistics robot in warehouse more efficient and real-time, a path planning for batch picking of warehousing and logistics robots based on the modified A* algorithm was put forward. First of all, the path planning of the single robot batch picking was realized. Then, the time cost was introduced to further improve the A* algorithm to realize the batch picking path planning of the multi-warehouse logistics robots. Finally, according to the algorithm proposed, .Net visual programming technology was applied to build a complete warehouse logistics robot picking path planning simulation system to verify the effectiveness of the algorithm proposed. The research results showed that the algorithm proposed could meet the needs of efficient and real-time path planning in the process of completing batch picking tasks. To sum up, it lays a solid foundation for the realization of intelligent and fully automated warehouse management.
引用
收藏
页码:176 / 192
页数:17
相关论文
共 50 条
  • [1] Algorithm of Path Planning Based on Time Window for Multiple Mobile Robots in Warehousing System
    Liu Haiming
    Liu Weidong
    Zhang Mei
    Chen An
    [J]. PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 2193 - 2199
  • [2] PATH PLANNING OF FRUIT AND VEGETABLE PICKING ROBOTS BASED ON IMPROVED A* ALGORITHM AND PARTICLE SWARM OPTIMIZATION ALGORITHM
    Li, Chen
    [J]. INMATEH-AGRICULTURAL ENGINEERING, 2023, 71 (03): : 470 - 482
  • [3] Safe Global Path Planning of Mobile Robots Based on Modified A* Algorithm
    Park, Jong-Hun
    No, Jin-Hong
    Huh, Uk-Youl
    [J]. 8TH INTERNATIONAL CONFERENCE ON ROBOTIC, VISION, SIGNAL PROCESSING & POWER APPLICATIONS: INNOVATION EXCELLENCE TOWARDS HUMANISTIC TECHNOLOGY, 2014, 291 : 99 - 105
  • [4] Path Planning of Rail-Mounted Logistics Robots Based on the Improved Dijkstra Algorithm
    Zhou, Xiwei
    Yan, Jingwen
    Yan, Mei
    Mao, Kaihao
    Yang, Ruizhe
    Liu, Weiyu
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (17):
  • [5] Tea Picking Path Planning Based on Ant Colony Algorithm
    Wang, Guangjun
    Zhao, Yi
    Wang, Zhi
    Zhang, Yangzheng
    [J]. 2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 1945 - 1950
  • [6] Logistics Distribution Path Planning Based On Genetic Algorithm
    Gao, Zhen-hua
    Chen, Wei-dong
    [J]. PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT 2016: THEORY AND APPLICATION OF INDUSTRIAL ENGINEERING, 2017, : 97 - 101
  • [7] Apple-Picking Robot Picking Path Planning Algorithm Based on Improved PSO
    Gao, Ruilong
    Zhou, Qiaojun
    Cao, Songxiao
    Jiang, Qing
    [J]. ELECTRONICS, 2023, 12 (08)
  • [8] Coverage path planning for kiwifruit picking robots based on deep reinforcement learning
    Wang, Yinchu
    He, Zhi
    Cao, Dandan
    Ma, Li
    Li, Kai
    Jia, Liangsheng
    Cui, Yongjie
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 205
  • [9] The Path Planning of Mobile Robots Based on an Improved A* Algorithm
    Chang, Lu
    Shan, Liang
    Li, Jun
    Dai, Yuewei
    [J]. PROCEEDINGS OF THE 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2019), 2019, : 257 - 262
  • [10] Path Planning of Mobile Robots Based on Genetic Algorithm
    Zhang, Yansheng
    Ou, BingHao
    Xu, YuanHong
    Dai, ChaoShu
    [J]. 2023 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYTICS, ICCCBDA, 2023, : 501 - 505