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使用肌肉骨骼建模对手部外骨骼进行设计验证。

Design-validation of a hand exoskeleton using musculoskeletal modeling.

机构信息

Sorbonne Universités, Université de Technologie de Compiègne, UMR CNRS 7338, Biomécanique et Bioingénierie, Centre de Recherche Royallieu, F-60203, Compiègne, France; Christian-Albrechts University of Kiel, Department of Neurology, 24105 Kiel, Germany.

CEA, LIST, Laboratoire de Robotique Interactive, F-91190 Gif sur Yvette, France.

出版信息

Appl Ergon. 2018 Apr;68:283-288. doi: 10.1016/j.apergo.2017.11.015. Epub 2017 Dec 19.

Abstract

Exoskeletons are progressively reaching homes and workplaces, allowing interaction with virtual environments, remote control of robots, or assisting human operators in carrying heavy loads. Their design is however still a challenge as these robots, being mechanically linked to the operators who wear them, have to meet ergonomic constraints besides usual robotic requirements in terms of workspace, speed, or efforts. They have in particular to fit the anthropometry and mobility of their users. This traditionally results in numerous prototypes which are progressively fitted to each individual person. In this paper, we propose instead to validate the design of a hand exoskeleton in a fully digital environment, without the need for a physical prototype. The purpose of this study is thus to examine whether finger kinematics are altered when using a given hand exoskeleton. Therefore, user specific musculoskeletal models were created and driven by a motion capture system to evaluate the fingers' joint kinematics when performing two industrial related tasks. The kinematic chain of the exoskeleton was added to the musculoskeletal models and its compliance with the hand movements was evaluated. Our results show that the proposed exoskeleton design does not influence fingers' joints angles, the coefficient of determination between the model with and without exoskeleton being consistently high (R¯=0.93) and the nRMSE consistently low (nRMSE¯ = 5.42°). These results are promising and this approach combining musculoskeletal and robotic modeling driven by motion capture data could be a key factor in the ergonomics validation of the design of orthotic devices and exoskeletons prior to manufacturing.

摘要

外骨骼正逐渐进入家庭和工作场所,允许与虚拟环境进行交互、远程控制机器人,或帮助人类操作员搬运重物。然而,它们的设计仍然是一个挑战,因为这些机器人与佩戴它们的操作员在机械上相连,除了通常的机器人在工作空间、速度或力方面的要求外,还必须满足人体工程学的限制。它们尤其要适应用户的人体测量学和机动性。这通常导致需要制作大量的原型,然后逐步为每个人进行适配。在本文中,我们提出了一种在完全数字化的环境中验证手外骨骼设计的方法,而无需物理原型。因此,本研究旨在检验使用给定的手外骨骼是否会改变手指的运动学。因此,为每个用户创建了特定的肌肉骨骼模型,并通过运动捕捉系统驱动这些模型,以评估在执行两个与工业相关的任务时手指关节的运动学。将外骨骼的运动链添加到肌肉骨骼模型中,并评估其与手部运动的协调性。我们的结果表明,所提出的外骨骼设计不会影响手指关节的角度,模型与外骨骼之间的决定系数始终很高(R¯=0.93),归一化均方根误差(nRMSE¯)始终较低(nRMSE¯=5.42°)。这些结果令人鼓舞,这种结合运动捕捉数据驱动的肌肉骨骼和机器人建模的方法可能是在制造前对手部矫形器和外骨骼设计进行人体工程学验证的关键因素。

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