Zhang, Y.-F.;                     Yao, B.-G.;                     Zhang, F.;                     Liang, X.-F.;                     Tao, G.;                     Ge, Y.-X.;                     Niu, T.-F.    
        Global Stiffness Modeling of Robot Drilling System Incorporating End-Effector and Arm Flexibility Based on Virtual Joint Method. Machines 2025, 13, 837.
    https://doi.org/10.3390/machines13090837
    AMA Style
    
                                Zhang Y-F,                                 Yao B-G,                                 Zhang F,                                 Liang X-F,                                 Tao G,                                 Ge Y-X,                                 Niu T-F.        
                Global Stiffness Modeling of Robot Drilling System Incorporating End-Effector and Arm Flexibility Based on Virtual Joint Method. Machines. 2025; 13(9):837.
        https://doi.org/10.3390/machines13090837
    
    Chicago/Turabian Style
    
                                Zhang, Yao-Feng,                                 Bao-Guo Yao,                                 Fei Zhang,                                 Xi-Feng Liang,                                 Geng Tao,                                 Yu-Xun Ge,                                 and Teng-Fei Niu.        
                2025. "Global Stiffness Modeling of Robot Drilling System Incorporating End-Effector and Arm Flexibility Based on Virtual Joint Method" Machines 13, no. 9: 837.
        https://doi.org/10.3390/machines13090837
    
    APA Style
    
                                Zhang, Y.-F.,                                 Yao, B.-G.,                                 Zhang, F.,                                 Liang, X.-F.,                                 Tao, G.,                                 Ge, Y.-X.,                                 & Niu, T.-F.        
        
        (2025). Global Stiffness Modeling of Robot Drilling System Incorporating End-Effector and Arm Flexibility Based on Virtual Joint Method. Machines, 13(9), 837.
        https://doi.org/10.3390/machines13090837