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

Bowen He and Bin Chen

PLOS ONE, 2026, vol. 21, issue 1, 1-21

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.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0340455

DOI: 10.1371/journal.pone.0340455

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