• Laser & Optoelectronics Progress
  • Vol. 61, Issue 18, 1815003 (2024)
Kefu Song1,2, Rui Tang1, Feifei Guo3, Zexin Shen1..., Huixiong Zeng1 and Jun Li1,3,*|Show fewer author(s)
Author Affiliations
  • 1Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350117, Fujian, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Quanzhou Vocational and Technical University, Quanzhou 362000, Fujian, China
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    DOI: 10.3788/LOP232708 Cite this Article Set citation alerts
    Kefu Song, Rui Tang, Feifei Guo, Zexin Shen, Huixiong Zeng, Jun Li. Surgical Robotic Arm Guidance System Based on Point Laser Precise Navigation[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1815003 Copy Citation Text show less
    Principle of multi-stage small object detection
    Fig. 1. Principle of multi-stage small object detection
    SRCNN network framework
    Fig. 2. SRCNN network framework
    Comparison of traditional algorithm and optimization algorithm framework. (a) Mainstream multi-scale target recognition architecture; (b) feature aggregation and single scale recognition improvement strategies
    Fig. 3. Comparison of traditional algorithm and optimization algorithm framework. (a) Mainstream multi-scale target recognition architecture; (b) feature aggregation and single scale recognition improvement strategies
    RRT and RRT* search process. (a) RRT; (b) RRT*
    Fig. 4. RRT and RRT* search process. (a) RRT; (b) RRT*
    RRT*-Connect with target bias strategy
    Fig. 5. RRT*-Connect with target bias strategy
    Path planning. (a) Path optimization; (b) path smoothing
    Fig. 6. Path planning. (a) Path optimization; (b) path smoothing
    Robotic arm and obstacle bounding box model
    Fig. 7. Robotic arm and obstacle bounding box model
    Simulated lesion point cloud image. (a) Processed point cloud image; (b) normal vector image of the lesion surface
    Fig. 8. Simulated lesion point cloud image. (a) Processed point cloud image; (b) normal vector image of the lesion surface
    Surgical robotic arm guidance system
    Fig. 9. Surgical robotic arm guidance system
    System flow chart
    Fig. 10. System flow chart
    Comparison of recognition results. (a) Intel RealSense Viewer; (b) bright condition; (c) dark condition
    Fig. 11. Comparison of recognition results. (a) Intel RealSense Viewer; (b) bright condition; (c) dark condition
    Search process and results. (a) RRT*; (b) RRT-Connect; (c) BT-RRT*; (d) proposed algorithm
    Fig. 12. Search process and results. (a) RRT*; (b) RRT-Connect; (c) BT-RRT*; (d) proposed algorithm
    Comparison of simulation results. (a) No constraint strategy applied; (b) constraint strategy applied
    Fig. 13. Comparison of simulation results. (a) No constraint strategy applied; (b) constraint strategy applied
    Experimental results in actual scene. (a) No constraint strategy applied; (b) constraint strategy applied
    Fig. 14. Experimental results in actual scene. (a) No constraint strategy applied; (b) constraint strategy applied
    SRCNNFeature aggregation and single scale recognitionAP50 /%AP70 /%Recognition speed /(frame/s)
    88.464.477.8
    98.791.449.9
    87.564.3116.3
    97.683.578.9
    Table 1. Results of ablation experiment
    AlgorithmAP50 /%AP70 /%Recognition speed /(frame/s)
    ATSS85.451.324.6
    YOLOv486.547.150.4
    Standard YOLOX88.464.477.8
    YOLOv590.459.364.5
    Faster R-CNN96.870.921.9
    Proposed97.683.578.9
    Table 2. Comparison of recognition results of different algorithms
    Serial numberActual positionCalculation results of proposed algorithm
    X,Y,ZXB,YB,ZBXDYDZD
    1(-0.018,-0.010,0.326)(-0.0184,-0.0104,0.326)(-0.0179,-0.0104,0.326)
    2(-0.008,-0.006,0.325)(-0.0085,-0.0062,0.325)(-0.0084,-0.0062,0.326)
    3(-0.004,-0.013,0.326)(-0.0042,-0.0135,0.326)(-0.0047,-0.0131,0.327)
    Table 3. Identification data comparison
    AlgorithmStep size /cmAverage planning time /sAverage number of iterationsAverage active nodesAverage path cost /cm
    RRT*56.4003065.4226.16200.69
    100.245567.9823.90232.98
    200.029122.6812.42235.98
    RRT-Connect54.1833060.9848.04235.74
    100.149780.2824.84237.47
    200.027165.2613.36243.27
    BT-RRT*50.107181.5028.64186.56
    100.02468.8420.76202.38
    200.01329.4011.10210.31
    Proposed50.06594.0625.46188.00
    100.01736.5620.26206.01
    200.00916.269.62198.23
    Table 4. Comparison of simulation results
    Kefu Song, Rui Tang, Feifei Guo, Zexin Shen, Huixiong Zeng, Jun Li. Surgical Robotic Arm Guidance System Based on Point Laser Precise Navigation[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1815003
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