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Target grasping network technology of robot manipulator based on attention mechanism
更新时间：2025-05-26

    • Target grasping network technology of robot manipulator based on attention mechanism

    • “In the field of single object grasping detection of robotic arms, researchers have proposed a CBAM SqueezeNet network model based on attention mechanism, which effectively improves the accuracy and running speed of grasping detection.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 12, Pages: 3423-3432(2024)
    • 作者机构：

      1.东北大学 信息科学与工程学院， 沈阳 110819

      2.新松机器人自动化股份有限公司， 沈阳 110168

      3.东北大学 机器人科学与工程学院， 沈阳 110169

    • DOI：10.13229/j.cnki.jdxbgxb.20230087    

      CLC： TP242.6

    • Received：31 January 2023，

      Published：01 December 2024

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  • ZHAO Bin,WU Cheng-dong,ZHANG Xue-jiao,et al.Target grasping network technology of robot manipulator based on attention mechanism[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(12):3423-3432. DOI： 10.13229/j.cnki.jdxbgxb.20230087.

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