A high-sensitivity flexible bionic tentacle sensor for multidimensional force sensing and autonomous obstacle avoidance applications.

IF 7.3 1区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION
Xinyu Liu, Kunru Li, Shuo Qian, Lixin Niu, Wei Chen, Hui Wu, Xiaoguang Song, Jie Zhang, Xiaoxue Bi, Junbin Yu, Xiaojuan Hou, Jian He, Xiujian Chou
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引用次数: 0

Abstract

Bionic tentacle sensors are important in various fields, including obstacle avoidance, human‒machine interfaces, and soft robotics. However, most traditional tentacle sensors are based on rigid substrates, resulting in difficulty in detecting multidirectional forces originating from the external environment, which limits their application in complex environments. Herein, we proposed a high-sensitivity flexible bionic tentacle sensors (FBTSs). Specifically, the FBTS featured an ultrahigh sensitivity of 37.6 N-1 and an ultralow detection limit of 2.4 mN, which benefited from the design of a whisker-like signal amplifier and crossbeam architecture. Moreover, the FBTS exhibited favorable linearity (R2 = 0.98) and remarkable durability (more than 5000 cycles). This was determined according to the improvement in the uniformity of the sensing layer through a high-shear dispersion process. In addition, the FBTS could accurately distinguish the direction of external stimuli, resulting in the FBTS achieving roughness recognition, wind speed detection and autonomous obstacle avoidance. In particular, the ability of autonomous obstacle avoidance was suitably demonstrated by leading a bionic rat through a maze with the FBTS. Notably, the proposed FBTS could be widely applied in tactile sensing, orientation perception, and obstacle avoidance.

用于多维力传感和自主避障应用的高灵敏度柔性仿生触手传感器。
仿生触手传感器在避障、人机界面和软体机器人学等多个领域都非常重要。然而,传统的触手传感器大多基于刚性基板,难以检测来自外部环境的多方向力,这限制了其在复杂环境中的应用。在此,我们提出了一种高灵敏度的柔性仿生触手传感器(FBTS)。具体来说,该传感器具有 37.6 N-1 的超高灵敏度和 2.4 mN 的超低检测限,这得益于须状信号放大器和横梁结构的设计。此外,FBTS 还表现出良好的线性度(R2 = 0.98)和出色的耐用性(超过 5000 次)。这得益于通过高剪切分散工艺提高了传感层的均匀性。此外,FBTS 还能准确分辨外部刺激的方向,从而实现粗糙度识别、风速检测和自主避障。特别是,利用 FBTS 引导仿生大鼠通过迷宫,恰当地证明了自主避障的能力。值得注意的是,拟议的 FBTS 可广泛应用于触觉传感、方位感知和避障。
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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来源期刊
Microsystems & Nanoengineering
Microsystems & Nanoengineering Materials Science-Materials Science (miscellaneous)
CiteScore
12.00
自引率
3.80%
发文量
123
审稿时长
20 weeks
期刊介绍: Microsystems & Nanoengineering is a comprehensive online journal that focuses on the field of Micro and Nano Electro Mechanical Systems (MEMS and NEMS). It provides a platform for researchers to share their original research findings and review articles in this area. The journal covers a wide range of topics, from fundamental research to practical applications. Published by Springer Nature, in collaboration with the Aerospace Information Research Institute, Chinese Academy of Sciences, and with the support of the State Key Laboratory of Transducer Technology, it is an esteemed publication in the field. As an open access journal, it offers free access to its content, allowing readers from around the world to benefit from the latest developments in MEMS and NEMS.
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