Primary Experimental Feedback on a Co-manipulated Robotic System for Assisted Cervical Surgery

• URL: http://arxiv.org/abs/2602.06541v1
• Date: Fri, 06 Feb 2026 09:47:28 GMT
• Title: Primary Experimental Feedback on a Co-manipulated Robotic System for Assisted Cervical Surgery
• Abstract summary: The study offers an in-depth analysis of the co-manipulated robotic system's performance.<n>The findings of this study will contribute to the ongoing development of robotic-assisted cervical surgery.
• Score: 0.25165775267615204
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Robotic-assisted surgery has emerged as a promising approach to improve surgical ergonomics, precision, and workflow efficiency, particularly in complex procedures such as cervical spine surgery. In this study, we evaluate the performance of a collaborative robotic system designed to assist surgeons in drilling tasks by assessing its accuracy in executing predefined trajectories. A total of 14 drillings were performed by eight experienced cervical surgeons, utilizing a robotic-assisted setup aimed at ensuring stability and alignment. The primary objective of this study is to quantify the deviations in the position and orientation of the drilling tool relative to the planned trajectory, providing insights into the system's reliability and potential impact on clinical outcomes. While the primary function of robotic assistance in surgery is to enhance surgeon comfort and procedural guidance rather than solely optimizing precision, understanding the system's accuracy remains crucial for its effective integration into surgical practices part of this primary experimental feedback, the study offers an in-depth analysis of the co-manipulated robotic system's performance, focusing on the experimental setup and error evaluation methods. The findings of this study will contribute to the ongoing development of robotic-assisted cervical surgery, highlighting both its advantages and areas for improvement in achieving safer and more efficient surgical workflows

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