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首页> 外文期刊>International Journal of Robotics & Automation >A MULTI-OBJECTIVE GA BASED ALGORITHM FOR 2D FORM AND FORCE CLOSURE GRASP OF PRISMATIC OBJECTS
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A MULTI-OBJECTIVE GA BASED ALGORITHM FOR 2D FORM AND FORCE CLOSURE GRASP OF PRISMATIC OBJECTS

机译:二维对象的二维闭合力封闭网格的多目标遗传算法

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摘要

Given a 2D polygonal object with "n" points on its boundary at which fingertips can be placed, we use a stochastic multi-objective optimization algorithm to find the optimal form or force closure grasp points. The vertices of the object are given as input to the algorithm that first divides the object's perimeter into discrete points where fingertips can be placed. The optimal grasp points as non-dominated solutions in the Pareto optimal set are then found satisfying form or force closure. From this set a solution can be chosen by the user depending on the application. Geometrical quality measure of accessibility angle is used to ensure form closure, while the grasp span, force focus, etc. are used to get the best force closure points. An advantage of this method is the availability of multiple optimal grasp solutions that are better than earlier solutions obtained by the authors and by other researchers.
机译:给定一个在其边界上可以放置指尖的“ n”点的二维多边形对象,我们使用随机的多目标优化算法来找到最佳形式或强制闭合抓点。对象的顶点作为算法的输入给出,该算法首先将对象的周界划分为可放置指尖的离散点。然后,找到帕累托最优集中作为非支配解的最优抓点,满足形式或力的闭合。用户可以根据应用从该组中选择解决方案。可达角的几何质量度量用于确保形状闭合,而抓握跨度,力集中等用于获得最佳力闭合点。该方法的优点是可获得多个最佳抓握解决方案,这些解决方案比作者和其他研究人员获得的早期解决方案更好。

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