Designing Grasping Tools for Robotic Assembly Based on Shape Analysis of Parts

Kento Nakayama, Weiwei Wan, K. Harada
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引用次数: 2

Abstract

This paper aims to provide a method for automatically designing a set of grasping tools performing a sequence of robotic assembly tasks. First, the convex shape decomposition is applied to extract the grasped part of an object. From the shape information of the part, we determine the number of fingers of the grasping tool as well as the stroke and dimension of each finger. Next, the detailed shape of finger surface such as the slant angle and the curvature radius is determined by applying the plane clustering to the surface of the grasped part. We consider reducing the number of grasping tools used in a whole sequence of assembly by checking if a same grasping tool can be commonly used between two individual assembly tasks. Finally, the proposed method was verified through a series of robotic assembly experiments.
基于零件形状分析的机器人装配抓取工具设计
本文旨在提供一种自动设计一套执行机器人装配任务的抓取工具的方法。首先,采用凸形分解提取被抓物体的部分;根据零件的形状信息,确定抓取工具的手指数量以及每个手指的行程和尺寸。然后,将平面聚类应用于被抓部位表面,确定手指表面的倾斜角、曲率半径等细节形状。我们考虑通过检查在两个单独的装配任务之间是否可以通常使用相同的抓取工具来减少在整个装配序列中使用的抓取工具的数量。最后,通过一系列机器人装配实验对所提方法进行了验证。
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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