Laser & Optoelectronics Progress, Volume. 62, Issue 12, 1237001(2025)

Grasp Detection Algorithm Based on Deep Learning

Huiyan Han1,2,3、*, Wanning Li1,2,3, Jiaqi Wang1,2,3, Liqun Kuang1,2,3, and Xie Han1,2,3
Author Affiliations
  • 1School of Computer Science and Technology, North University of China, Taiyuan 030051, Shanxi , China
  • 2Shanxi Provincial Key Laboratory of Machine Vision and Virtual Reality, Taiyuan 030051, Shanxi , China
  • 3Shanxi Province's Vision Information Processing and Intelligent Robot Engineering Research Center, Taiyuan 030051, Shanxi , China
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    References(27)

    [5] An G L, Li Z G, Du Y J et al. Multiple workpiece grasping point localization method based on deep learning[J]. Laser & Optoelectronics Progress, 60, 1215002(2023).

    [16] Yu Q S, Xu X R, Liu Y Z. Pixel-level grasping pose detection for robots based on Transformer[J]. Chinese Journal of Engineering Design, 31, 238-247(2024).

    [24] Xu Z C, Xue J P, Sun P F et al. Robot grasp detection method based on stable lightweight network[J]. Chinese Journal of Lasers, 50, 1304003(2023).

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    Huiyan Han, Wanning Li, Jiaqi Wang, Liqun Kuang, Xie Han. Grasp Detection Algorithm Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2025, 62(12): 1237001

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    Paper Information

    Category: Digital Image Processing

    Received: Oct. 28, 2024

    Accepted: Dec. 11, 2024

    Published Online: Jun. 16, 2025

    The Author Email: Huiyan Han (hhy980344@163.com)

    DOI:10.3788/LOP242181

    CSTR:32186.14.LOP242181

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