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A Spatially Selective Electroactive-Actuating Adhesive Electronics for Multi-Object Manipulation and Adaptive Haptic Interactionoa mark
  • Hwang, Gui Won ;
  • Jeon, Seung Hwan ;
  • Song, Jin Ho ;
  • Kim, Da Wan ;
  • Lee, Jihyun ;
  • Kim, Jae Ik ;
  • Jo, Gwanghyun ;
  • Park, Sungjun ;
  • Kim, Hye Jin ;
  • Kim, Min Seok ;
  • Yang, Tae Heon ;
  • Pang, Changhyun
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Publication Year
2024-02-05
Publisher
John Wiley and Sons Inc
Citation
Advanced Functional Materials, Vol.34
Keyword
actuatorsbiomimeticsdry adhesivesflexible electronics
Mesh Keyword
Adhesive patchesConcave cavityDry adhesiveDry conditionElectro activesFlatter surfacesHaptic interactionsMultiobjectNon flatsObject manipulation
All Science Classification Codes (ASJC)
Electronic, Optical and Magnetic MaterialsChemistry (all)BiomaterialsMaterials Science (all)Condensed Matter PhysicsElectrochemistry
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.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33715
DOI
https://doi.org/10.1002/adfm.202308747
Fulltext

Type
Article
Funding
G.W.H. and S.H.J. contributed equally to this work. The authors gratefully acknowledge support from the National Research Foundation of Korea (NRF) grant funded by the Korean government (Ministry of Science and ICT, MSIT) (2022R1A4A3032923). Additionally, this work was supported by the Market\u2010led K\u2010sensor technology program (RS\u20102022\u201000154781, Development of large\u2010area wafer\u2010level flexible/stretchable hybrid sensor platform technology for form factor\u2010free highly integrated convergence sensor) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea). This work was supported by the National Research Foundation of Korea (NRF\u20102019R1C1C1008730) and the National Research Council of Science & Technology (NST) grant by the Korea government (MIST) (No. CRC230231\u2010000).
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Park, Sungjun  Image
Park, Sungjun 박성준
Department of Electrical and Computer Engineering
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