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机器人辅助方法来描述软组织与可穿戴机器人的相互作用.

Felipe Ballen-Moreno, Kevin Langlois, Pasquale Ferrentino

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    PubMed
    概括

    这项研究引入了一种新的机器人方法来表征人类软组织,这对于可穿戴机器人的安全性和舒适性至关重要. 该方法准确地测量组织特性,使人机交互的设计更好.

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    科学领域:

    • 生物力学 生物力学
    • 机器人技术 机器人技术 机器人技术
    • 人与计算机的交互

    背景情况:

    • 可穿戴机器人需要舒适安全的人与设备的互动.
    • 人机接口中的压力和剪切应力经常被忽视.
    • 准确的软组织表征对于计算相互作用应力至关重要.

    研究的目的:

    • 开发一种新的方法来表征人类软组织.
    • 为了使多个身体区域的体内特征能够在生物体内进行表征.
    • 改进可穿戴机器人设备的设计和安全性.

    主要方法:

    • 利用机器人手臂和3D表面扫描仪进行软组织特征.
    • 通过将拉伸/压缩测试与缩测试进行比较,验证了机器人手臂的有效性.
    • 开发了一个超弹性模型,以适应前臂组织的实验数据.

    主要成果:

    • 在验证测试中,机器人手臂实现了10.4%的错误率.
    • 一个超弹性模型成功地被安装到两个相邻的前臂组织区域.
    • 该方法表明了对应力和变形的扩展分析的潜力.

    结论:

    • 新的机器人方法简化了可穿戴机器人的软组织特征.
    • 这种方法可以适应多个身体区域,解决当前的局限性.
    • 进一步的研究可以探索剪切应力,能量损失和压力分布.