生长机器人版本的三维运动学和准静力学

Flavie Przybylski, Yinoussa Adagolodjo, Anna Mîra, Giulio Cerruti, Jérémie Dequidt, C. Duriez, Pierre Berthet-Rayne
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引用次数: 0

摘要

生长机器人及其旋转原理有着广泛的应用,从外科手术到工业检测和考古。伸缩过程包括在机器人的尖端放置一个充气装置,当受到压力时,该装置会拉长机器人的身体。然而,这种复杂的运动现象的模拟是一个重大的挑战。我们的方法建议使用运动学和准静态建模的组合来参数化演化过程的起始条件。这有助于理解这种复杂运动现象的行为,并有助于识别对外翻过程及其对外部因素的响应有重大影响的因素。运动学模型采用Cosserat杆模型作为局部坐标,准静态模型基于有限元分析。将这两个模型结合起来,捕捉机器人尖端在弯曲过程中的行为。这种方法已经使用SOFA框架进行了实施和测试,并通过在狭窄通道上部署藤蔓机器人进行了评估。我们的方法的结果是鼓舞人心的,以更好地了解软生长机器人的行为在版本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D Kinematics and Quasi-Statics of a Growing Robot Eversion
Growing robots and their eversion principle have wide applications ranging from surgery to industrial inspection and archaeology. The eversion process involves deploying an inflatable device with a material located at the tip of the robot, which, when under pressure, elongates the robot's body. However, the simulation of this complex kinematic phenomenon is a significant challenge. Our approach proposes to use a combination of kinematics and quasi-static modeling to parameterize the starting conditions of the eversion process. This facilitates the understanding of the behavior of this complex kinematic phenomenon and help identify factors that have a significant impact on the eversion process and its response to external factors. The kinematic model uses the Cosserat rod models for local coordinates, while the quasi-static model is based on finite element analysis. The two models are combined to capture the behavior of the robot tip during eversion. This approach has been implemented and tested using the SOFA framework and has been evaluated on the deployment of a vine robot on a narrow passage. The results of our approach are encouraging to better understand the behaviour of soft growing robot during eversion.
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