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机器人腰椎:动力学与反馈线性化控制。

The robotic lumbar spine: dynamics and feedback linearization control.

机构信息

Mechanical Engineering Department, University of Texas-Pan American, Edinburg, TX 78539, USA.

出版信息

Comput Math Methods Med. 2013;2013:985248. doi: 10.1155/2013/985248. Epub 2013 Sep 16.

Abstract

The robotic lumbar spine (RLS) is a 15 degree-of-freedom, fully cable-actuated robotic lumbar spine which can mimic in vivo human lumbar spine movements to provide better hands-on training for medical students. The design incorporates five active lumbar vertebrae and the sacrum, with dimensions of an average adult human spine. It is actuated by 20 cables connected to electric motors. Every vertebra is connected to the neighboring vertebrae by spherical joints. Medical schools can benefit from a tool, system, or method that will help instructors train students and assess their tactile proficiency throughout their education. The robotic lumbar spine has the potential to satisfy these needs in palpatory diagnosis. Medical students will be given the opportunity to examine their own patient that can be programmed with many dysfunctions related to the lumbar spine before they start their professional lives as doctors. The robotic lumbar spine can be used to teach and test medical students in their capacity to be able to recognize normal and abnormal movement patterns of the human lumbar spine under flexion-extension, lateral bending, and axial torsion. This paper presents the dynamics and nonlinear control of the RLS. A new approach to solve for positive and nonzero cable tensions that are also continuous in time is introduced.

摘要

机器人腰椎(RLS)是一个具有 15 个自由度的全缆驱动机器人腰椎,它可以模拟体内人类腰椎运动,为医学生提供更好的实践培训。该设计包含五个主动腰椎和骶骨,尺寸与成年人的平均脊柱相同。它由连接到电动机的 20 根电缆驱动。每个椎体都通过球形关节与相邻的椎体相连。医学院可以从一种工具、系统或方法中受益,该工具、系统或方法将帮助教师培训学生,并在整个教育过程中评估他们的触觉熟练程度。机器人腰椎有可能在触诊诊断中满足这些需求。医学生会有机会检查自己的病人,这些病人可以在开始他们的医生职业生涯之前,通过编程来模拟与腰椎相关的许多功能障碍。机器人腰椎可用于教授和测试医学生,使其能够识别屈伸、侧屈和轴向扭转时人体腰椎的正常和异常运动模式。本文介绍了 RLS 的动力学和非线性控制。引入了一种新的方法来求解正的和非零的缆索张力,这些缆索张力在时间上也是连续的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/122f/3787629/ff2ebaec823b/CMMM2013-985248.001.jpg

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