A Simple Ontology of Manipulation Actions Based on Hand-Object Relations

F. Wörgötter, E. Aksoy, N. Krüger, J. Piater, A. Ude, M. Tamosiunaite
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引用次数: 78

Abstract

Humans can perform a multitude of different actions with their hands (manipulations). In spite of this, so far there have been only a few attempts to represent manipulation types trying to understand the underlying principles. Here we first discuss how manipulation actions are structured in space and time. For this we use as temporal anchor points those moments where two objects (or hand and object) touch or un-touch each other during a manipulation. We show that by this one can define a relatively small tree-like manipulation ontology. We find less than 30 fundamental manipulations. The temporal anchors also provide us with information about when to pay attention to additional important information, for example when to consider trajectory shapes and relative poses between objects. As a consequence a highly condensed representation emerges by which different manipulations can be recognized and encoded. Examples of manipulations recognition and execution by a robot based on this representation are given at the end of this study.
基于手-物关系的简单操作动作本体
人类可以用手做很多不同的动作(操纵)。尽管如此,到目前为止,只有少数人试图表示操作类型,试图理解其基本原理。在这里,我们首先讨论操作动作是如何在空间和时间上结构化的。为此,我们使用两个对象(或手和对象)在操作过程中相互接触或不接触的时刻作为时间锚点。我们表明,通过这种方式可以定义一个相对较小的树状操作本体。我们发现不到30种基本操作。时间锚点还为我们提供了关于何时注意其他重要信息的信息,例如何时考虑物体之间的轨迹形状和相对姿态。因此,出现了一个高度浓缩的表示,通过它可以识别和编码不同的操作。在本研究的最后,给出了基于此表示的机器人操作识别和执行的示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Autonomous Mental Development
IEEE Transactions on Autonomous Mental Development COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ROBOTICS
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