软充气手指:各种应用的设计,原型和传感器概述

Faisal Aljaber, Ahmed Hassan, T. Abrar, I. Vitanov, K. Althoefer
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引用次数: 0

摘要

基于织物的软致动器、夹持器和操纵器越来越受欢迎,因为它们能够处理大的有效载荷,同时重量轻、非常顺应、低成本和完全可折叠。然而,在不损害这些优势特性的情况下实现织物手指的全姿态感应仍然是一个挑战。本文概述了在伦敦大学玛丽皇后学院(ARQ)先进机器人中心开展的基于软织物的充气手指设计、驱动和传感器的工作。进一步的实验分析已经进行,以检查特征,如弯曲控制和外伸(从尖端生长)在织物手指抓握应用。此外,还测量了两种类型的双指夹持力:包络夹持和夹紧夹持。在力测量的基础上,提出了利用软光波导传感器对织物抓手进行传感的新概念,并提出了利用图像处理对织物抓手进行形状估计的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soft Inflatable Fingers: An Overview of Design, Prototyping and Sensorisation for Various Applications
Fabric-based soft actuators, grippers and manipulators are gaining in popularity due to their ability to handle large payloads while being lightweight, extremely compliant, low-cost and fully collapsible. Achieving full-pose sensing of fabric fingers without compromising on these advantageous properties, however, remains a challenge. This paper overviews work on soft fabric-based inflatable finger design, actuation and sensorisation carried out at the Centre for Advanced Robotics at Queen Mary (ARQ), University of London. Further experimental analysis has been performed to examine features such as bending control and eversion (growing from the tip) in fabric fingers for grasping applications. In addition, two types of grasp force have been measured for a bi-fingered gripper: envelope grasping and pinch grasping. Beyond force measurement, this paper advances a new concept for the sensorisation of fabric grippers using soft optical waveguide sensors and proposes shape estimation using image processing.
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