基于sma的触觉手套在智能工厂概念中的使用:XR用例

Rupali Srivastava, V. Kuts, Eber Lawrence Souza Gouveia, Niall Murray, D. Devine, Eoin O’Connell
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引用次数: 1

摘要

智能工厂的概念化首先介绍了工业4.0范式及其代表的九大支柱。这种模式本身是以自动化和机器人为中心的,这意味着人类在制造车间的参与越来越少。然而,即使是机器人和工厂的模拟方面也是最关键的方面;工业4.0仍然专注于为人类操作员提供增强现实和虚拟现实(AR和VR)输入方法,使工业5.0概念以人为中心的平稳过渡。尽管VR/AR在人机交互(HRI)研究方面仍处于启用和广泛应用阶段,但笨重的头戴式设备在观察视野方面受到限制。耳机等输入法具有语音和手势识别功能;然而,这些主要受到工厂噪音和摄像头指向人手的限制。这些耳机将智能可穿戴设备的使用限制在工厂环境的给定边界内。一种基于形状记忆合金(SMA)的触觉手套,可以从手部弯曲的运动学分析中获得离散的数据输出,从而消除对手势识别的需求。本文提出了一种基于sma的触觉手套在智能制造环境中的模块化框架。这些手套不需要额外的可穿戴设备,就可以与重型机械、屏幕和工业区的所有其他设备进行交互,甚至可以使用全息技术。在本文中,作者的目标是用所选择的用例来描述上下文、设计和框架,这些用例主要基于爱尔兰香农科技大学:中部中西部(TUS: MMW)和爱沙尼亚塔林科技大学(TalTech)的机器人系统应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SMA-Based Haptic Gloves Usage in the Smart Factory Concept: XR Use Case
Conceptualization of the Smart Factory started with introducing the Industry 4.0 paradigm and its nine pillars, which it stands. The paradigm itself is automation and robot-centric focused, which means less and less involvement of the humans on the manufacturing shop floor. However, even robots and simulation aspects of the factories are the most crucial aspects; Industry 4.0 still focuses on the Augmented and Virtual Reality (AR and VR input methods for the human operators, making the smooth transition to the Industry 5.0 concept a human-centric. Although VR/AR is still being enabled and widely used in the Human-Robot Interaction (HRI) research aspect, the heavy headset is limited in the observation field of view. The input methods, such as headsets, have voice and gesture recognition; however, those are mainly limited by factory noise and cameras pointing to the human hands. These headsets constrain the use of smart wearables to a given boundary inside the factory environment. A Shape Memory Alloy (SMA) based haptic glove with discrete data outputs from the kinaesthetic analysis of the hand bending can remove the need for gesture recognition. The paper proposes a modular framework using the SMA-based Haptic Gloves in the Smart Manufacturing environment. These gloves, without additional wearables, can enable interactions with heavy machinery, screens, and all other assets of the industrial area, even with holographic. In this paper, the authors aim to prose the context, design, and framework with the chosen use-cases mainly based on the robotic system applications in the Technological University of the Shannon: Midlands Midwest (TUS: MMW), Ireland, and Tallinn University of Technology (TalTech), Estonia.
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