软气动夹持器集成了多配置和可变刚度功能

IF 1.2 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Zean Yuan, Li Wu, Xiangjian Xu, Rui Chen
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引用次数: 2

摘要

软抓取器具有柔顺性和自适应性,在抓取任务中与周围环境具有高度的兼容性。目前,大多数气动软爪都采用单一的抓取结构,导致其对不同对象的通用性差。此外,执行机构弹性体产生的振荡会导致抓取和运输过程中的稳定性差,可以通过增强刚度来改善。结合多构型变刚度功能,提出了一种四指柔性气动夹持器。利用切线机构的运动特性实现了多构型。同时,将基于电流变液的阻尼方法应用于气动执行机构,提高了气动执行机构的抓取稳定性。此外,采用机器视觉技术实现机械手在操作过程中抓取姿态的自动调整。结果表明,所设计的多构型夹持器能够自适应抓取不同形状的物体,特别是笔筒作为平圆柱体和长方体盒子作为长圆柱体这两种经典类型。结果表明,变刚度电流变方法可有效降低气动手指的振动。本研究旨在提高气动软爪的通用性和抓取稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Soft pneumatic gripper integrated with multi-configuration and variable-stiffness functionality

Soft pneumatic gripper integrated with multi-configuration and variable-stiffness functionality

Soft grippers are compliant and self-adaptive, and can be highly compatible with the surrounding environment in grasping tasks. Currently, most soft pneumatic grippers are developed with a single grasping configuration, which leads to poor universality for different objects. Additionally, the oscillation caused by actuator's elastic bodies will result in poor stability during grasping and transportation, which can be improved by stiffness enhancement. A four-fingered soft pneumatic gripper is proposed by integrating multi-configuration and variable-stiffness functionality. The multi-configuration was realised by using the motion characteristics of a tangent mechanism. Meanwhile, a damping method based on electrorheological fluids was applied on a pneumatic actuator to improve the grasping stability. Besides, a machine vision technique was adopted to automatically adjust the grasping posture during manipulation. As a result, the proposed multi-configuration gripper can self-adaptively grasp different shapes of objects, especially two classical types, a pen canister as the flat cylinder and a cuboid box as the long cylinder. In addition, the electrorheological variable-stiffness method was manifested to be applicable for reducing pneumatic finger vibration. This research is expected to improve the versatility and grasping stability of soft pneumatic grippers.

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来源期刊
Cognitive Computation and Systems
Cognitive Computation and Systems Computer Science-Computer Science Applications
CiteScore
2.50
自引率
0.00%
发文量
39
审稿时长
10 weeks
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