将人手的指尖运动映射到拟人化的机器人手

U. Scarcia, R. Meattini, C. Melchiorri
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引用次数: 2

摘要

将人类的意图映射到灵巧的拟人化机器人手中,在研究人员中仍然是一个悬而未决的问题。这个问题背后的复杂性主要来自三个因素:用户和机器人手之间的运动学差异;不同用户手的大小和运动能力的差异;拟人化的手具有很高的自由度。在这项工作中,我们提出了一个程序,用于确定能够连接用户和机器人运动学的线性变换,从而允许对机械装置进行精确和自然的控制。我们所做的主要假设是,不同的人的手的运动学差异——一个很好的近似——只是一个比例因子,而指骨长度和手指相对方向之间的比例在健康人b[1]中几乎保持不变。我们还假设,由于被认为是高度拟人化的机械手,这种情况也适用于用户和机械手之间。此外,对于机械人手来说,固定在手掌上的参考系的定义是一个自由的选择,而对于用一些外部系统跟踪的人手来说,它完全依赖于软件。因此,必须引入额外的旋转和平动校正项,以补偿手掌参照系相对于手指的不同位置。我们已经将这种方法应用于使用一种称为Leap Motion的商业设备来控制UB-Hand IV,该设备能够准确地跟踪手掌的姿势和人手关键点的位置,即手骨的端点[2]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping human hand fingertips motion to an anthropomorphic robotic hand
The mapping of the human intention to a dexterous anthropomorphic robotic hand is still an open issue among researchers. The complexity behind this problems comes mainly from three factors: the kinematics differences between the users and the robotic hand(s); the differences in size and motion capabilities among different users hands; and the high number of degrees of freedom present in an anthropomorphic hand. In this work, we present a procedure for the determination of a linear transformation capable to interface the user and the robot kinematics and therefore to allow a precise and natural control of the mechanical device. The main assumption that we make is that different human hand kinematics differ-with a good approximation-for a scaling factor only, whereas the proportions between the phalanges lengths and the relative orientation of the fingers are kept almost constant in healthy people [1]. We also assume that, being the considered robotic hand highly anthropomorphic, this condition holds also between the user and the robotic hand. In addition, while for a robotic hand the definition of a reference frame fixed to the palm is a free choice, for the human hand tracked with some external system it is completely software dependent. Therefore additional rotational and translational corrective terms have to be introduced to compensate for the different placement of the palm reference frame with respect to the fingers. We have applied this approach to control the UB-Hand IV using a commercial device called Leap Motion, able to track with a good accuracy the pose of the palm and the positions of the key points of the human hand, i.e. the end points of the hand bones [2].
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