Contact point detection for grasping of an unknown object using joint compliance

M. Kaneko, K. Tanie
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引用次数: 9

Abstract

Focuses on a scheme for searching a contact point between a multifingered hand and an unknown object. Instead of mounting a distributed tactile sensor all over the finger links, the authors propose an active touch approach using joint compliance. The algorithm is composed of two phases. One is the approach phase, in which each finger is opened widely and approaches to an object until a part of a finger link is in contact with the object. The other is the detection phase, in which each finger posture is changed with slip while maintaining contact between object and finger. Using two selected postures during the detection phase, one can compute the intersecting point which leads to an approximate contact point. With a suitable combination of compliant joints and position-controlled joints, a finger link has the capability of changing its posture while maintaining contact with an object over a small angular displacement at a particular joint. This motion is essential in the contact point detection phase. The proposed algorithm is confirmed through simple experiments using a two-fingered robot hand.<>
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接触点检测,利用关节顺应性抓取未知物体
重点研究了一种多指手与未知物体接触点的搜索方案。作者提出了一种利用关节顺应性的主动触摸方法,而不是在手指连接上安装分布式触觉传感器。该算法分为两个阶段。一个是接近阶段,在这个阶段,每个手指都张开,接近一个物体,直到手指连接的一部分与物体接触。另一个是检测阶段,在保持物体与手指接触的情况下,每个手指的姿势随滑动而变化。在检测阶段使用两个选定的姿势,可以计算相交点,从而得到一个近似的接触点。通过柔性关节和位置控制关节的适当组合,手指连接具有改变其姿势的能力,同时在特定关节处保持与物体的小角位移接触。这种运动在接触点检测阶段是必不可少的。通过双指机械手的简单实验验证了该算法的有效性。
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