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Two-finger caging of 3D polyhedra using contact space search

机译:使用接触空间搜索的3D多面体的两指锁定

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Multi-finger caging offers a robust approach to grasping. This paper describes an algorithm to find caging formations of a 3D polyhedron for two point fingers using a lower-dimensional contact-space formulation. The paper shows that contact space has several useful properties. First, the critical points of the cage in the hand's configuration space are identical to the critical points of the interfinger distance in contact space. Second, contact space can be naturally decomposed into 4D regions having useful properties. A geometric analysis of the critical points of the interfinger distance function results in a catalog of grasps in which the cages change topology, leading to a simple test to classify critical points. These properties lead to an easily constructed caging graph whose nodes contain the critical points of contact space. Starting from an immobilizing grasp, this graph can be searched to find local, intermediate, and maximal caging regions around that initial grasp. An implemented algorithm demonstrates the method.
机译:多指笼提供了一种可靠的抓握方法。本文介绍了一种算法,该算法使用较低维的接触空间公式为两个点的手指找到3D多面体的笼形结构。本文显示了接触空间具有几个有用的属性。首先,笼子在手的构形空间中的临界点与指间距离在接触空间中的临界点相同。第二,接触空间可以自然地分解为具有有用属性的4D区域。对手指间距离函数的临界点进行几何分析,得出一类抓握,其中笼子改变了拓扑结构,从而导致对临界点进行分类的简单测试。这些属性导致易于构造的笼形图,其节点包含接触空间的临界点。从不动的抓地力开始,可以搜索该图以找到围绕该初始抓地力的局部,中间和最大笼罩区域。一种已实现的算法对此方法进行了演示。

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