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Contact point detection for grasping an unknown object using self-posture changeability

机译:利用自姿势变化能力进行接触点检测以抓取未知物体

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Determining where the fingers of a multi-fingered robot hand touch an object of unknown shape plays an important role in achieving a stable grasp. This paper focuses on a scheme for identifying such contact points. Instead of mounting a distributed tactile sensor all over the finger links, we propose an active sensing approach using joint compliance. The proposed scheme is composed of two phases. In the first phase, the approach phase, each finger is extended to its most distal position as it approaches the object. This phase continues until any part of a finger link contacts the object. During the second phase, the detection phase, each finger's posture is strategically changed by sliding the finger over the object while maintaining contact between the object and the finger. Using two selected postures during the detection phase, we can compute an intersecting point that gives an approximate contact point. This paper develops the algorithm and provides results from an experimental implementation of the scheme on a two-fingered robot hand running a joint level compliance controller. The process of changing the posture of the finger while maintaining object-finger contact is called self posture changeability (SPC). It also develops sufficient conditions to demonstrate the robustness of the SPC technique to variations in the coefficient of friction.
机译:确定多指机械手的手指在何处触摸形状未知的物体在实现稳定抓握方面起着重要作用。本文着重于识别此类接触点的方案。与其在手指链接上安装分布式触觉传感器,不如提出一种使用关节顺应性的主动感测方法。所提出的方案包括两个阶段。在第一阶段(接近阶段)中,每个手指在接近对象时都会扩展到其最远端的位置。该阶段一直持续到手指链接的任何部分接触到对象为止。在第二阶段(检测阶段)中,在保持对象与手指之间接触的同时,通过在对象上滑动手指来策略性地更改每个手指的姿势。在检测阶段使用两个选定的姿势,我们可以计算出一个相交点,从而得出一个近似的接触点。本文开发了该算法,并提供了该方案在运行联合水平柔量控制器的两指机器人手上的实验实现结果。在保持物指接触的同时改变手指姿势的过程称为自我姿势改变能力(SPC)。它还开发了充分的条件来证明SPC技术对摩擦系数变化的鲁棒性。

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