Contact States Estimation Algorithm Using Fuzzy Logic in Peg-in-hole Assembly*

Haeseong Lee, Jaeheung Park
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引用次数: 6

Abstract

Peg-in-hole assembly is regarded as one of the essential tasks in the robotic assembly. To complete the task, it is required to estimate the Contact State(CS) of a peg relative to a hole and control motions of the peg in the assembly environment. In this paper, we propose the estimation algorithm using fuzzy logic for the satisfaction of these requirements. Firstly, we describe a peg-in-hole environment, which has holes with several sizes on the surface with a fine area. Afterward, we classify the CS of the peg in the environment. Secondly, we explain and analyze the proposed algorithm and a motion control method. Using the proposed algorithm, we can estimate all the CS. After estimating the current CS, proper actions are commanded for the peg-in-hole assembly. To validate the proposed algorithm, we conducted an experiment using a 7 DOF torque-controlled manipulator and prefabricated furniture.
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基于模糊逻辑的孔钉装配接触状态估计算法*
钉孔装配是机器人装配中的核心任务之一。为了完成这项任务,需要估计钉相对于孔的接触状态(CS),并控制钉在装配环境中的运动。为了满足这些要求,本文提出了一种基于模糊逻辑的估计算法。首先,我们描述了一个钉孔环境,该环境在一个精细区域的表面上有几种尺寸的孔。然后,我们对环境中peg的CS进行了分类。其次,对所提出的算法和运动控制方法进行了说明和分析。利用该算法,我们可以估计出所有的CS。估算完当前的钻压后,就可以对孔内钉组合进行适当的操作。为了验证所提出的算法,我们使用7自由度力矩控制机械手和预制家具进行了实验。
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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