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Design of a three-finger end effector for optimal grip

机译:设计三指末端执行器以获得最佳抓地力

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摘要

This paper presents the design of a three-fingered gripper with two degrees of freedom (DOF) per finger for a total of six (DOF). We show a brief mathematical description of the kinematics involved in the gripper with which to determine the workspace. With the workspace, all possible attachment points are obtained, that will be the points at which the end-effector contacts with the object geometry. To select which of these points is best for hold the object, we proceed to evaluate the force that is exerted on it by mathematical theory called Screw. This force should be the minimum to ensure that do not present sliding as well as avoid damages of the object by excess strength. Due to the fact that the contact points are numerous and evaluate them takes quite time by an algorithm combining, for this reason the optimization algorithm Non-dominated Sorting Genetic Algorithm (NSGA) is implemented. The results of the optimization with attachment points that exert minimal force were presented.
机译:本文介绍了一种三指抓具的设计,每个手指具有两个自由度(DOF),总共六个(DOF)。我们简要介绍了用于确定工作空间的夹具所涉及的运动学的数学描述。在工作空间中,将获得所有可能的附着点,这些附着点将是末端执行器与对象几何形状接触的点。要选择这些点中的哪一个最适合固定物体,我们继续评估称为“螺丝钉”的数学理论所施加的力。该力应为最小,以确保不会出现滑动以及避免因过大的强度而损坏物体。由于接触点很多,并且通过算法组合来评估接触点需要花费相当长的时间,因此实现了优化算法非支配排序遗传算法(NSGA)。提出了施加力最小的附着点的优化结果。

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