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首页> 外文期刊>IEEE Transactions on Robotics >Caging Grasps of Rigid and Partially Deformable 3-D Objects With Double Fork and Neck Features
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Caging Grasps of Rigid and Partially Deformable 3-D Objects With Double Fork and Neck Features

机译:具有双叉和颈部功能的刚性和部分变形的3D对象的笼形抓握

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摘要

Caging provides an alternative to point-contact-based rigid grasping, relying on reasoning about the global free configuration space of an object under consideration. While substantial progress has been made toward the analysis, verification, and synthesis of cages of polygonal objects in the plane, the use of caging as a tool for manipulating general complex objects in 3-D remains challenging. In this work, we introduce the problem of caging rigid and partially deformable 3-D objects, which exhibit geometric features we call double forks and necks. Our approach is based on the linking number—a classical topological invariant, allowing us to determine sufficient conditions for caging objects with these features even in the case when the object under consideration is partially deformable under a set of neck or double fork preserving deformations. We present synthesis and verification algorithms and demonstrations of applying these algorithms to cage 3-D meshes.
机译:笼养提供了基于点接触的刚性抓取的替代方法,它依赖于所考虑对象的全局自由配置空间的推理。尽管在分析,验证和合成平面中多边形对象的笼子方面已经取得了实质性进展,但是使用笼子作为在3-D中操纵一般复杂对象的工具仍然具有挑战性。在这项工作中,我们介绍了将刚性和部分可变形的3-D对象笼起来的问题,这些对象表现出称为双叉和颈部的几何特征。我们的方法基于链接数-一个经典的拓扑不变式,即使在考虑中的对象在一组颈部变形或双叉变形的情况下可部分变形的情况下,我们也可以确定具有这些特征的笼罩对象的充分条件。我们介绍了合成和验证算法,以及将这些算法应用于笼式3D网格的演示。

著录项

  • 来源
    《IEEE Transactions on Robotics 》 |2016年第6期| 1479-1497| 共19页
  • 作者单位

    Computer Vision and Active Perception Laboratory, Centre for Autonomous Systems, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, Sweden;

    Computer Vision and Active Perception Laboratory, Centre for Autonomous Systems, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, Sweden;

    Computer Vision and Active Perception Laboratory, Centre for Autonomous Systems, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, Sweden;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Shape analysis; Grasping; Manipulators; Three-dimensional displays; Object recognition;

    机译:形状分析抓取机械手三维显示对象识别;

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