Laser & Optoelectronics Progress, Volume. 59, Issue 14, 1415025(2022)

Robotic Arm Visual Grasping Algorithm and System Based on RGB-D Images

Rui Qu1, Yong Li1,2、*, Feng Shuang1, and Hanzhang Huang1
Author Affiliations
  • 1Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment, School of Electrical Engineering, Guangxi University, Nanning 530004, Guangxi , China
  • 2Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology, School of Electrical Engineering, Guangxi University, Nanning 530004, Guangxi , China
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    References(22)

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    [6] Zhang L, Zhang T Y, Yao X T et al. Improvement on pose estimation of an object in the robotic vision[J]. Journal of Nantong University (Natural Science Edition), 20, 38-45(2021).

    [9] Wang F S, Wang Q S, Chen J G et al. Improved Faster R-CNN target detection algorithm based on attention mechanism and Soft-NMS[J]. Laser & Optoelectronics Progress, 58, 2420001(2021).

    [10] Gu G M, Chen C, Yu X N et al. Target location algorithm of contact network pipe cap based on improved Faster R-CNN[J]. Laser & Optoelectronics Progress, 59, 0410009(2022).

    [14] Cui H H, Jiang T, Du K P et al. 3D imaging method for multi-view structured light measurement via deep learning pose estimation[J]. Acta Optica Sinica, 41, 1712001(2021).

    [20] Li Z Y, Ding K, Zhang J W et al. Selective enhancement-based shade segmentation of photovoltaic array[J]. Laser & Optoelectronics Progress, 58, 2410006(2021).

    [21] Liu Z C, Wang D W, Liu Y et al. Adaptive adjustment algorithm for non-uniform illumination images based on 2D Gamma function[J]. Transactions of Beijing Institute of Technology, 36, 191-196, 214(2016).

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    Rui Qu, Yong Li, Feng Shuang, Hanzhang Huang. Robotic Arm Visual Grasping Algorithm and System Based on RGB-D Images[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415025

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    Paper Information

    Category: Machine Vision

    Received: Mar. 21, 2022

    Accepted: May. 23, 2022

    Published Online: Jul. 1, 2022

    The Author Email: Yong Li (yongli@gxu.edu.cn)

    DOI:10.3788/LOP202259.1415025

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