IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0340455.html

Dynamic grasping system based on visual algorithm and robot arm collaboration in logistics production line

Author

Listed:
  • Bowen He
  • Bin Chen

Abstract

In response to the urgent need for efficient and accurate dynamic grasping in automated logistics, this study proposes the VRCDS, a dynamic grasping system that integrates a multi-feature weighted PnP vision algorithm with multi-robot arm collaboration. The system establishes a closed-loop “perception-decision-execution-feedback” architecture, significantly enhancing grasping accuracy, system efficiency, and energy savings compared to traditional single-arm or visual servo schemes. Experimental results demonstrate that the VRCDS system achieves high recognition accuracy, robust grasping efficiency under various conveyor speeds, precise trajectory control, and a substantial reduction in power consumption. The research provides an efficient, precise, and reliable solution for dynamic grasping tasks in logistics automation.

Suggested Citation

  • Bowen He & Bin Chen, 2026. "Dynamic grasping system based on visual algorithm and robot arm collaboration in logistics production line," PLOS ONE, Public Library of Science, vol. 21(1), pages 1-21, January.
    • Handle: RePEc:plo:pone00:0340455
    DOI: 10.1371/journal.pone.0340455
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0340455
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0340455&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0340455?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zhu, Wenbin & Fu, Ying & Zhou, You, 2024. "3D dynamic heterogeneous robotic palletization problem," European Journal of Operational Research, Elsevier, vol. 316(2), pages 584-596.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Juan Manuel Huertas Arango & German Pantoja-Benavides & Sebastián Valero & David Álvarez-Martínez, 2024. "Approaches for the On-Line Three-Dimensional Knapsack Problem with Buffering and Repacking," Mathematics, MDPI, vol. 12(20), pages 1-20, October.
    2. Naiara P. V. Sebbe & Francisco J. G. Silva & Alcinda M. S. Barreiras & Isabel M. Pinto & Rita C. M. Sales-Contini & Luis P. Ferreira & Ana B. M. Machado, 2024. "Pallet Loading Problem: A Case Study in the Automotive Industry Applying a Simplified Mathematical Model," Mathematics, MDPI, vol. 12(7), pages 1-17, March.
    3. Mazur, Philipp Gabriel & Melsbach, Johannes Werner & Schoder, Detlef, 2025. "Physical question, virtual answer: Optimized real-time physical simulations and physics-informed learning approaches for cargo loading stability," Operations Research Perspectives, Elsevier, vol. 14(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0340455. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.