Reports on Robotics Findings from University of Texas Austin Provide New Insight s (A Biomechanics-aware Robot-assisted Steerable Drilling Framework for Minimall y Invasive Spinal Fixation Procedures)
Reports on Robotics Findings from University of Texas Austin Provide New Insight s (A Biomechanics-aware Robot-assisted Steerable Drilling Framework for Minimall y Invasive Spinal Fixation Procedures)
由一名新闻记者兼机器人与机器学习每日新闻编辑-调查人员讨论机器人学的新发现。根据NewsRx Jo Urnalists在德克萨斯州奥斯汀的新闻报道，研究表明："在本文中，我们提出了一种新的生物力学Sawar E机器人辅助可控钻孔框架，目的是解决由于Dr Iling器械和植入物的刚性而发生的脊柱固定程序的常见并发症。"这项研究的财政支持来自美国国立卫生研究院(NIH)。新闻记者从德克萨斯大学奥斯汀分校的研究中获得了一句话，“该框架由两个主要的独特模块组成，用于设计旋转机器人系统，包括(i)患者特定的生物力学感知轨迹选择模块，用于分析在一般钻孔轨迹(线性和/或弯曲)中沿植入椎弓根螺钉的应力和应变分布，并获得最佳轨迹；(ii)互补的半自主机器人钻孔模块，由一种新型同心管导向组件组成钻削机器人(C T-SDR)集成了一个七自由度机械手。该半自主机器人辅助可控钻削系统遵循多步钻削过程，精确可靠地执行轨迹选择模块获得的最佳混合钻削轨迹(HDT)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news reporting originating in Austin, Texas, by NewsRx jo urnalists, research stated, “In this paper, we propose a novel biomechanicsawar e robot-assisted steerable drilling framework with the goal of addressing common complications of spinal fixation procedures occurring due to the rigidity of dr illing instruments and implants.” Financial support for this research came from National Institutes of Health (NIH ) - USA. The news reporters obtained a quote from the research from the University of Tex as Austin, “This framework is composed of two main unique modules to design a ro botic system including (i) a Patient- Specific Biomechanics-aware Trajectory Sele ction Module used to analyze the stress and strain distribution along an implant ed pedicle screw in a generic drilling trajectory (linear and/or curved) and obt ain an optimal trajectory; and (ii) a complementary semi-autonomous robotic dril ling module that consists of a novel Concentric Tube Steerable Drilling Robot (C T-SDR) integrated with a seven degree-of-freedom robotic manipulator. This semi- autonomous robot-assisted steerable drilling system follows a multi-step drillin g procedure to accurately and reliably execute the optimal hybrid drilling traje ctory (HDT) obtained by the Trajectory Selection Module.”
Key words
Austin/Texas/United States/North and Central America/Autonomous Robot/Biomechanical Engineering/Emerging Technolog ies/Machine Learning/Robot/Robotics/Robots/University of Texas Austin
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