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Identification of Gracefulness Feature Parameters for Hand-Over Motion

机译:识别移交运动的优美特征参数

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As robots in the welfare and service industries must come into contact with humans, they are required to make favorable impressions on human sensibilities. Our research focuses on the concept of "graceful motion," as defined by Hogarth. In order to implement graceful motion in robots, we analyze the hand trajectories which highly skilled servers generate in the task of passing a wine glass to extract graceful and ungraceful curve features. We propose to model the hand trajectory by a polynomial of the fourth degree and to adjust the S-shaped curvature of the hand trajectory. An impression evaluation is then conducted, which indicates that a 20 % - 60 % S-shaped curvature correspond to gracefulness in a hand-over motion; this parameter corresponds to Hogarth's definition.
机译:由于福利和服务行业中的机器人必须与人接触,因此要求它们对人的情感产生良好的印象。我们的研究集中在Hogarth定义的“优美运动”的概念上。为了在机器人中实现优美的运动,我们分析了高技能的服务器在传递酒杯以提取优美和不优美的曲线特征的任务中产生的手轨迹。我们建议通过第四阶多项式对手部轨迹进行建模,并调整手部轨迹的S形曲率。然后进行印象评估,表明20%-60%的S形曲率对应于移交动作的优美程度;此参数对应于Hogarth的定义。

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