ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article A Spatially Selective Electroactive‐Actuating Adhesive Electronics for Multi‐Object Manipulation and Adaptive Haptic Interaction
Cited 7 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Gui Won Hwang, Seung Hwan Jeon, Jin Ho Song, Da Wan Kim, Jihyun Lee, Jae-Ik Kim, Gwanghyun Jo, Sungjun Park, Hye Jin Kim, Min-Seok Kim, Tae-Heon Yang, Changhyun Pang
Issue Date
2024-02
Citation
Advanced Functional Materials, v.34, no.6, pp.1-10
ISSN
1616-301X
Publisher
John Wiley & Sons Ltd.
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1002/adfm.202308747
Abstract
Some organisms often use adhesive setae to manipulate objects or communicate critical signals for survival through subtle surface‐transmitted vibrations, along with locomotion and long‐term adherence. Inspired by this phenomenon, the spatially selective vibration‐transmitting electronics of a multi‐pixelated electroactive‐actuating adhesive patch coupled with small adhesive architectures are presented. Here, diving beetle‐like small dense hairs possessing concave cavities are introduced to obtain high adaptability on various non‐flat surfaces in dry or wet conditions. Based on the versatile vibration‐transmitting platform, the ensuing lightweight, spatially‐selective, switchable‐adhesive device is demonstrated to effectively manipulate multiple objects simultaneously, thus overcoming the limitations of existing monotonous transportation devices. In addition, the electronics can be applied to the stretchable skin‐conforming haptic interface with high breathability and repeatable attachment capability, capable of recognizing complex outward textures of virtual objects. This skin‐adaptive haptic electronics can amplify the tiny vibrotactile feedback from the diverse surface textures of virtual creatures due to its possession of bioinspired architectures at the human–machine interface. Here, the stably encapsulated device is integrated with machine learning‐based comprehension for reproducible expression. Therefore, this technology offers promise in virtual reality and augmented reality applications.
KSP Keywords
Augmented reality(AR), Augmented reality application, Coupled with, Flat surface, Haptic interaction, Haptic interface, High adaptability, Machine Interface, Multiple objects, Surface texture, Vibrotactile Feedback