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Abstract
Introduction
Dental implantation has emerged as an efficient substitute for missing teeth, which is essential for restoring oral function and aesthetics. Compared to traditional denture repair approaches, dental implants offer better stability and sustainability. The position, angle, and depth of dental implants are crucial factors for their long-term success and necessitate high-precision operation and technical support.
Method
We propose an integrated dual-arm high-precision oral implant surgery navigation positioning system and a corresponding control strategy. Compared with traditional implant robots, the integrated dual-arm design greatly shortens the preparation time before surgery and simplifies the operation process. We propose a novel control flow and module for the proposed structure, including an Occluded Target Tracking Module (OTTM) for occlusion tracking, a Planting Plan Development Module (PPDM) for generating implant plans, and a Path Formulation Module (PFM) for controlling the movement path of the two robot arms.
Result
Under the coordinated control of the aforementioned modules, the robot achieved excellent accuracy in clinical trials. The average angular error and entry point error for five patients who underwent implant surgery using the proposed robot were 2.1° and 0.39 mm, respectively.
Conclusion
In essence, our study introduces an integrated dual-arm high-precision navigation system for oral implant surgery, resolving issues like lengthy preoperative preparation and static surgical planning. Clinical results confirm its efficacy, emphasizing its accuracy and precision in guiding oral implant procedures.
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Details
; Sun, Meng 2
; Wang, Yide 3 ; Zhu, Weidong 4 ; Wang, Dongmei 5 ; Li, Xiang 5 ; Wu, Hao 6 ; Men, Shaoyang 7 ; Zhang, Liangbin 8 ; Feng, Changfen 9 ; Wang, Yingfu 1 ; Ding, Yuehua 10 1 Shanghai Maritime University, Logistics Engineering College, Shanghai, China (GRID:grid.412518.b) (ISNI:0000 0001 0008 0619)
2 Nanjing University of Aeronautics and Astronautics, Electronic Information Engineering College, Nanjing, China (GRID:grid.64938.30) (ISNI:0000 0000 9558 9911); Nanjing Panda Electronics Company Limited, Nanjing, China (GRID:grid.64938.30)
3 Polytech Nantes-Site de la Chantrerie, Institut d’Electronique et des Technologies du numerique, Nantes, France (GRID:grid.462104.5) (ISNI:0000 0000 8584 0666)
4 University of Maryland Baltimore County, Department of Mechanical Engineering, Baltimore, USA (GRID:grid.266673.0) (ISNI:0000 0001 2177 1144)
5 Shanghai Jiao Tong Univ, School of Mechanical Engineering, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293)
6 Naval Military Medical University, Department of Gastroenterology, Changhai Hospital, Shanghai, China (GRID:grid.411525.6) (ISNI:0000 0004 0369 1599)
7 Guangzhou University of Chinese Medicine, School of Medical Information Engineering, Guangzhou, China (GRID:grid.411866.c) (ISNI:0000 0000 8848 7685)
8 Scedent Medical Device Ltd., Shanghai, China (GRID:grid.411866.c)
9 Suzhou Stomatology Hospital, Emergency Department of Stomatology, Suzhou, China (GRID:grid.452802.9)
10 South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China (GRID:grid.79703.3a) (ISNI:0000 0004 1764 3838)




