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Xi J, Yang H, Li X, Wei R, Zhang T, Dong L, Yang Z, Yuan Z, Sun J, Hua Q. Recent Advances in Tactile Sensory Systems: Mechanisms, Fabrication, and Applications. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:465. [PMID: 38470794 DOI: 10.3390/nano14050465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/07/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024]
Abstract
Flexible electronics is a cutting-edge field that has paved the way for artificial tactile systems that mimic biological functions of sensing mechanical stimuli. These systems have an immense potential to enhance human-machine interactions (HMIs). However, tactile sensing still faces formidable challenges in delivering precise and nuanced feedback, such as achieving a high sensitivity to emulate human touch, coping with environmental variability, and devising algorithms that can effectively interpret tactile data for meaningful interactions in diverse contexts. In this review, we summarize the recent advances of tactile sensory systems, such as piezoresistive, capacitive, piezoelectric, and triboelectric tactile sensors. We also review the state-of-the-art fabrication techniques for artificial tactile sensors. Next, we focus on the potential applications of HMIs, such as intelligent robotics, wearable devices, prosthetics, and medical healthcare. Finally, we conclude with the challenges and future development trends of tactile sensors.
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Affiliation(s)
- Jianguo Xi
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
| | - Huaiwen Yang
- School of Integrated Circuit Science and Engineering, Beihang University, Beijing 100191, China
| | - Xinyu Li
- School of Integrated Circuit Science and Engineering, Beihang University, Beijing 100191, China
| | - Ruilai Wei
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
- Institute of Flexible Electronics, Beijing Institute of Technology, Beijing 102488, China
| | - Taiping Zhang
- Tianfu Xinglong Lake Laboratory, Chengdu 610299, China
| | - Lin Dong
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Materials Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China
| | - Zhenjun Yang
- Hefei Hospital Affiliated to Anhui Medical University (The Second People's Hospital of Hefei), Hefei 230011, China
| | - Zuqing Yuan
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
- Institute of Flexible Electronics, Beijing Institute of Technology, Beijing 102488, China
| | - Junlu Sun
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Materials Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China
| | - Qilin Hua
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
- Institute of Flexible Electronics, Beijing Institute of Technology, Beijing 102488, China
- Guangxi Key Laboratory of Brain-Inspired Computing and Intelligent Chips, Guangxi Normal University, Guilin 541004, China
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Choe JK, Yi J, Jang H, Won H, Lee S, Lee H, Jang Y, Song H, Kim J. Digital Mechanical Metamaterial: Encoding Mechanical Information with Graphical Stiffness Pattern for Adaptive Soft Machines. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2304302. [PMID: 37850948 DOI: 10.1002/adma.202304302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 09/15/2023] [Indexed: 10/19/2023]
Abstract
Inspired by the adaptive features exhibited by biological organisms like the octopus, soft machines that can tune their shape and mechanical properties have shown great potential in applications involving unstructured and continuously changing environments. However, current soft machines are far from achieving the same level of adaptability as their biological counterparts, hampered by limited real-time tunability and severely deficient reprogrammable space of properties and functionalities. As a steppingstone toward fully adaptive soft robots and smart interactive machines, an encodable multifunctional material that uses graphical stiffness patterns is introduced here to in situ program versatile mechanical capabilities without requiring additional infrastructure. Through independently switching the digital binary stiffness states (soft or rigid) of individual constituent units of a simple auxetic structure with elliptical voids, in situ and gradational tunability is demonstrated here in various mechanical qualities such as shape-shifting and -memory, stress-strain response, and Poisson's ratio under compressive load as well as application-oriented functionalities such as tunable and reusable energy absorption and pressure delivery. This digitally programmable material is expected to pave the way toward multienvironment soft robots and interactive machines.
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Affiliation(s)
- Jun Kyu Choe
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Jiyoon Yi
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Hanhyeok Jang
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Heejae Won
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Suwoo Lee
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Hajun Lee
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Yeonwoo Jang
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Hyeonseo Song
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Jiyun Kim
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
- Center for Multidimensional Programmable Matter, Ulsan National Institute of Science and Technology, Ulsan, 44919, South Korea
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Sayyad PW, Park SJ, Ha TJ. Bioinspired nanoplatforms for human-machine interfaces: Recent progress in materials and device applications. Biotechnol Adv 2024; 70:108297. [PMID: 38061687 DOI: 10.1016/j.biotechadv.2023.108297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 11/20/2023] [Accepted: 11/29/2023] [Indexed: 01/13/2024]
Abstract
The panoramic characteristics of human-machine interfaces (HMIs) have prompted the needs to update the biotechnology community with the recent trends, developments, and future research direction toward next-generation bioelectronics. Bioinspired materials are promising for integrating various bioelectronic devices to realize HMIs. With the advancement of scientific biotechnology, state-of-the-art bioelectronic applications have been extensively investigated to improve the quality of life by developing and integrating bioinspired nanoplatforms in HMIs. This review highlights recent trends and developments in the field of biotechnology based on bioinspired nanoplatforms by demonstrating recently explored materials and cutting-edge device applications. Section 1 introduces the recent trends and developments of bioinspired nanomaterials for HMIs. Section 2 reviews various flexible, wearable, biocompatible, and biodegradable nanoplatforms for bioinspired applications. Section 3 furnishes recently explored substrates as carriers for advanced nanomaterials in developing HMIs. Section 4 addresses recently invented biomimetic neuroelectronic, nanointerfaces, biointerfaces, and nano/microfluidic wearable bioelectronic devices for various HMI applications, such as healthcare, biopotential monitoring, and body fluid monitoring. Section 5 outlines designing and engineering of bioinspired sensors for HMIs. Finally, the challenges and opportunities for next-generation bioinspired nanoplatforms in extending the potential on HMIs are discussed for a near-future scenario. We believe this review can stimulate the integration of bioinspired nanoplatforms into the HMIs in addition to wearable electronic skin and health-monitoring devices while addressing prevailing and future healthcare and material-related problems in biotechnologies.
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Affiliation(s)
- Pasha W Sayyad
- Dept. of Electronic Materials Engineering, Kwangwoon University, Seoul 01897, South Korea
| | - Sang-Joon Park
- Dept. of Electronic Materials Engineering, Kwangwoon University, Seoul 01897, South Korea
| | - Tae-Jun Ha
- Dept. of Electronic Materials Engineering, Kwangwoon University, Seoul 01897, South Korea.
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Jiao P, Mueller J, Raney JR, Zheng XR, Alavi AH. Mechanical metamaterials and beyond. Nat Commun 2023; 14:6004. [PMID: 37752150 PMCID: PMC10522661 DOI: 10.1038/s41467-023-41679-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 09/14/2023] [Indexed: 09/28/2023] Open
Abstract
Mechanical metamaterials enable the creation of structural materials with unprecedented mechanical properties. However, thus far, research on mechanical metamaterials has focused on passive mechanical metamaterials and the tunability of their mechanical properties. Deep integration of multifunctionality, sensing, electrical actuation, information processing, and advancing data-driven designs are grand challenges in the mechanical metamaterials community that could lead to truly intelligent mechanical metamaterials. In this perspective, we provide an overview of mechanical metamaterials within and beyond their classical mechanical functionalities. We discuss various aspects of data-driven approaches for inverse design and optimization of multifunctional mechanical metamaterials. Our aim is to provide new roadmaps for design and discovery of next-generation active and responsive mechanical metamaterials that can interact with the surrounding environment and adapt to various conditions while inheriting all outstanding mechanical features of classical mechanical metamaterials. Next, we deliberate the emerging mechanical metamaterials with specific functionalities to design informative and scientific intelligent devices. We highlight open challenges ahead of mechanical metamaterial systems at the component and integration levels and their transition into the domain of application beyond their mechanical capabilities.
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Affiliation(s)
- Pengcheng Jiao
- Ocean College, Zhejiang University, Zhoushan, Zhejiang, China
| | - Jochen Mueller
- Department of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Jordan R Raney
- Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA
| | - Xiaoyu Rayne Zheng
- Department of Materials Science and Engineering, University of California, Berkeley, CA, USA
| | - Amir H Alavi
- Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
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