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首页> 外文期刊>The International journal of robotics research >Grasping deformable planar objects: Squeeze, stick/slip analysis, and energy-based optimalities
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Grasping deformable planar objects: Squeeze, stick/slip analysis, and energy-based optimalities

机译:掌握可变形的平面物体:挤压,粘滞/滑移分析和基于能量的最优性

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摘要

Robotic grasping of deformable objects is difficult and under-researched, not simply due to the high computational cost of modeling. More fundamentally, several issues arise with the deformation of an object being grasped: a changing wrench space, growing finger contact areas, and pointwise varying contact modes inside these areas. Consequently, contact constraints needed for deformable modeling are hardly established at the beginning of the grasping operation. This paper presents a grasping strategy that squeezes the object with two fingers under specified displacements rather than forces. A 'stable' squeeze minimizes the potential energy for the same amount of squeezing, while a 'pure' squeeze ensures that the object undergoes no rigid body motion as it deforms. Assuming linear elasticity, a finite element analysis guarantees equilibrium and the uniqueness of deformation during a squeeze action. An event-driven algorithm tracks the contact regions as well as the modes of contact in their interiors under Coulomb friction, which in turn serve as the needed constraints for deformation update. Grasp quality is characterized as the amount of work performed by the grasping fingers in resisting a known push by some adversary finger. Simulation and multiple experiments have been conducted to validate the results over solid and ring-like 2D objects.
机译:机器人抓紧可变形物体既困难又研究不足,这不仅是因为建模的计算成本很高。从根本上说,要抓住物体的变形会产生几个问题:不断变化的扳手空间,不断扩大的手指接触面积以及这些区域内部逐点变化的接触方式。因此,在抓握操作开始时几乎没有建立可变形模型所需的接触约束。本文提出了一种抓握策略,可以在指定的位移而不是力的作用下用两个手指挤压物体。 “稳定”挤压可将相同挤压量下的势能降至最低,而“纯”挤压可确保物体变形时不会受到刚体的运动。假定为线性弹性,则有限元分析可确保挤压过程中的平衡和变形的唯一性。事件驱动算法跟踪库仑摩擦下的接触区域及其内部的接触方式,进而充当变形更新所需的约束。抓握质量的特征在于,抓握的手指在抵抗某些对手手指的已知推力方面所执行的工作量。已经进行了仿真和多次实验,以验证固体和环状2D对象的结果。

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