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Human-Inspired Force Compliant Grasping Primitives

机译:启发人类力量的原始抓取器

摘要

We address the problem of grasping everyday ob- jects that are small relative to an anthropomorphic hand, such as pens, screwdrivers, cellphones, and hammers from their nat- ural poses on a support surface, e.g., a table top. In such con- ditions, state of the art grasp generation techniques fail to pro- vide robust, achievable solutions due to either ignoring or try- ing to avoid contact with the support surface. In contrast, when people grasp small objects, they often make use of substan- tial contact with the support surface. In this paper we give re- sults of human subjects grasping studies which show the ex- tent and characteristics of environment contact under differ- ent task conditions. We develop a simple closed-loop hybrid grasping controller that mimics this interactive, contact-rich strategy by a position-force, pre-grasp and landing strategy for finger placement. The approach uses a compliant control of the hand during the grasp and release of objects in order to preserve safety. We conducted extensive robotic grasping ex- periments on a variety of small objects with similar shape and size. The results demonstrate that our approach is robust to lo- calization uncertainties and applies to many everyday objects.
机译:我们解决了从支撑表面(例如桌面)上以自然姿势抓握相对于拟人化手形较小的日常对象(例如笔,螺丝刀,手机和锤子)的问题。在这种情况下,由于忽略或试图避免与支撑表面的接触,最先进的抓握生成技术无法提供可靠的可实现的解决方案。相反,当人们抓住小物体时,他们通常会利用与支撑表面的大量接触。在本文中,我们给出了人类受试者抓紧研究的结果,这些研究表明了在不同任务条件下环境接触的程度和特征。我们开发了一种简单的闭环混合抓取控制器,该控制器通过位置力,预抓握和着陆策略来模仿这种交互式,接触丰富的策略,以进行手指放置。该方法在抓握和释放物体时对手进行顺应性控制,以保持安全。我们对形状和大小相似的各种小物体进行了广泛的机器人抓取实验。结果表明,我们的方法对局部不确定性具有鲁棒性,并适用于许多日常物品。

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