funbot - sleeve:一种使用McKibben人造肌肉来实现前臂触觉的可穿戴设备

IF 4.6 2区 计算机科学 Q2 ROBOTICS
Yanhong Peng;Yusuke Sakai;Yuki Funabora;Kenta Yokoe;Tadayoshi Aoyama;Shinji Doki
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引用次数: 0

摘要

在人机交互中,触觉反馈系统在丰富用户体验方面起着至关重要的作用。然而,现有的用于唤起触觉感觉的设备由于其变形自由度低而经常面临限制。在这项研究中,我们介绍了一种基于McKibben人造肌肉的触觉装置Funabot-Sleeve,并研究了它在稳态和瞬态气压模式下唤起一系列触觉的潜力。我们的研究考察了这些模式对唤起不同触觉感觉的影响,并确定了可以唤起的四种特定感觉:拥抱、挤压、拥抱和按压的组合以及扭曲的感觉。在所有参与者中,唤起的感觉都显示出正相关,大多数相关性超过0.4,表明受试者感受到的感觉高度一致。我们的研究为织物驱动器的设计奠定了基础,能够复制特定的刺激和皮肤表面效果,从而实现更复杂和个性化的触觉反馈体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Funabot-Sleeve: A Wearable Device Employing McKibben Artificial Muscles for Haptic Sensation in the Forearm
Haptic feedback systems play a critical role in enriching the user experience in human-robot interaction. However, existing devices designed for evoking haptic sensations often face limitations owing to their low degree of freedom of deformation. In this study, we introduce the Funabot-Sleeve, a haptic device based on McKibben artificial muscles, and investigate its potential to evoke a range of haptic sensations using both steady-state and transient air pressure patterns. Our investigation examines the influence of these patterns on evoking distinct haptic sensations and identifies four specific sensations that can be evoked: Embraced, Pinched, a combination of Embraced and Pressed, and Twisted sensations. Across all participants, the evoked sensations showed positive correlations, with most correlations exceeding a value of 0.4, indicating a high degree of agreement in the sensations felt by the subjects. Our research lays the groundwork for the design of fabric actuators, capable of replicating specific stimuli and skin surface effects, thereby enabling a more sophisticated and personalized haptic feedback experience.
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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