Comfort estimation during lift-up using nursing-care robot — RIBA

Ming Ding, R. Ikeura, T. Mukai, Hiromichi Nagashima, S. Hirano, Kazuya Matsuo, Minghui Sun, Chang-an Jiang, S. Hosoe
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引用次数: 21

Abstract

In our research center, we have developed a nursing-care assistant robot - RIBA, which can lift up and transfer person between bed and wheelchair using its two human like arms. In this research, we develop a new method to estimate the comfortable feeling of human, which can help our robot - RIBA to find the best lifting-up motion automatically. By using a lifting-up model and optimizing a weighted evaluation function, we can calculate the lifting forces and the human joint torques during the lift-up. A weighted evaluation is used to reflect the change of comfortable feeling. We also carried out some experiments to check the model and the estimating method. During the lift-up, we measured subjects' EMG signal. And after the lift-up, questionnaires survey is conducted. The change trends between estimated and measured value show the effectiveness of the model and the method quantitatively and qualitatively.
护理机器人RIBA在升降过程中的舒适性评估
在我们的研究中心,我们开发了一个护理助理机器人- RIBA,它可以用它的两个类似人的手臂在床和轮椅之间举起和转移人。在这项研究中,我们开发了一种新的方法来估计人的舒适感觉,这可以帮助我们的机器人RIBA自动找到最佳的升降动作。通过建立提升模型,优化加权评价函数,计算出提升过程中的提升力和人体关节力矩。采用加权评价来反映舒适度的变化。我们还进行了一些实验来验证模型和估计方法。在抬起过程中,我们测量了受试者的肌电信号。提升后进行问卷调查。估算值与实测值的变化趋势从定量和定性两方面证明了模型和方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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