Grasp that optimises objectives along post-grasp trajectories

E. AmirM.Ghalamzan, Nikos Mavrakis, R. Stolkin
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引用次数: 3

Abstract

In this article, we study the problem of selecting a grasp pose on the surface of an object to be manipulated by considering three post-grasp objectives. These objectives include (i) kinematic manipulation capability [1], [2], (ii) torque effort [3] and (iii) impact force in case of collision [4] during post-grasp manipulative actions. In these works [1]-[4], the main assumption is that a manipulation task, i.e. trajectory of the centre of mass (CoM) of an object is given. In addition, inertial properties of the object to be manipulated is known. For example, a robot needs to pick an object located at point A and place it at point B by moving it along a given path. Therefore, the problem to be solved is to find an initial grasp pose that yields the maximum kinematic manipulation capability, minimum joint effort and effective mass along a given post-grasp trajectories. However, these objectives may conflict in some cases making it impossible to obtain the best values for all of them. We perform a series of experiments to show how different objectives change as the grasping pose on an object alters. The experimental results presented in this paper illustrate that these objectives are conflicting for some desired post-grasp trajectories. This indicates that a detailed multi-objective optimisation is needed for properly addressing this problem in a future work.
把握,优化目标沿着把握后的轨迹
在本文中,我们通过考虑三个抓取后目标,研究了在被操纵物体表面选择抓取姿态的问题。这些目标包括(i)运动学操作能力[1],[2],(ii)扭矩努力[3]和(iii)碰撞时的冲击力[4]。在这些工作[1]-[4]中,主要假设是给定一个操作任务,即物体质心(CoM)的轨迹。此外,被操纵物体的惯性特性是已知的。例如,机器人需要选择一个位于a点的物体,并将其沿着给定的路径移动到B点。因此,要解决的问题是找到一个初始抓取姿势,产生最大的运动操纵能力,最小的联合努力和有效质量沿给定的抓后轨迹。然而,在某些情况下,这些目标可能会发生冲突,从而不可能获得所有目标的最佳值。我们进行了一系列的实验来展示不同的目标是如何随着物体抓取姿势的改变而变化的。在本文中提出的实验结果表明,这些目标是冲突的一些期望的抓后轨迹。这表明,在未来的工作中,需要详细的多目标优化来妥善解决这一问题。
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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