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Ultra-stable and tough bioinspired crack-based tactile sensor for small legged robots

npj Flexible Electronics 2023年第1期7卷 339-350页

作者： taewi kim Insic Hong Minho kim Sunghoon Im Yeonwook Roh Changhwan kim Jongcheon Lim Dongjin kim Jieun Park Seunggon Lee Daseul Lim Junggwang Cho Seokhaeng Huh Seung-Un Jo ChangHwan kim Je-Sung Koh Seungyong Han Daeshik Kang Multiscale Bio-inspired Technology Lab Department of Mechanical EngineeringAjou University206 World cup-roYeongtong-guSuwon-siGyeonggi-do 16499South Korea Weldon School of Biomedical Engineering Purdue UniversityWest LafayetteINUSA LIG Nex1 333Pangyo-roBundang-guSeongnam-siGyeonggi-do 13488Republic of Korea Defense Industry Technology Center Agency for Defense Development61Yeouidaebang-roDongjak-guSeoulRepublic of Korea

For legged robots,collecting tactile information is essential for stable posture and efficient ***,mounting sensors on small robots weighing less than 1 kg remain challenges in terms of the sensor’s durability,flexibility,sensitivity,and *** sensors featuring ultra-sensitivity,small-size,and flexibility could be a promising candidate,but performance degradation due to crack growing by repeated use is a stumbling *** paper presents an ultra-stable and tough bio-inspired crack-based sensor by controlling the crack depth using silver nanowire(Ag NW)mesh as a crack stop *** Ag NW mesh inspired by skin collagen structure effectively mitigated crack *** sensor was very thin,lightweight,sensitive,and ultra-durable that maintains its sensitivity during 200,000 cycles of 0.5%*** demonstrate sensor’s feasibility by implementing the tactile sensation to bio-inspired robots,and propose statistical and deep learning-based analysis methods which successfully distinguished terrain type.

关键词： crack tough durability

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Spider-inspired tunable mechanosensor for biomedical applications

引用

npj Flexible Electronics 2023年第1期7卷 444-452页

作者： taewi kim Insic Hong Yeonwook Roh Dongjin kim Sungwook kim Sunghoon Im Changhwan kim Kiwon Jang Seongyeon kim Minho kim Jieun Park Dohyeon Gong Kihyeon Ahn Jingoo Lee Gunhee Lee Hak-Seung Lee Jeehoon Kang Ji Man Hong Seungchul Lee Sungchul Seo Bon-Kwon Koo Je-sung Koh Seungyong Han Daeshik Kang Department of Mechanical Engineering Ajou UniversitySuwonKorea Department of Mechanical Engineering Pohang University of Science and TechnologyPohangKorea Department of Sustainable Environment Research Korea Institute of Machinery&MaterialsDaejeonKorea Department of Internal Medicine and Cardiovascular Center Seoul National University HospitalSeoulKorea Department of Neurology and Neurosurgery Ajou University School of MedicineSuwonKorea Department of Nano-chemical Biological and Environmental EngineeringSeokyeong UniversitySeoulKorea Institute on Aging Seoul National UniversitySeoulKorea

The recent advances of wearable sensors are remarkable but there are still limitations that they need to be refabricated to tune the sensor for target ***,biological sensory systems have the inherent potential to adjust their sensitivity according to the external environment,allowing for a broad and enhanced ***,we developed a Tunable,Ultrasensitive,Nature-inspired,Epidermal Sensor(TUNES)that the strain sensitivity was dramatically increased(GF~30k)and the pressure sensitivity could be tuned(10–254 kPa^(−1))by preset membrane *** sensor adjusts the sensitivity to the pressure regime by preset tension,so it can measure a wide range(0.05 Pa–25 kPa)with the best performance:from very small signals such as minute pulse to relatively large signals such as muscle contraction and *** verified its capabilities as a wearable health monitoring system by clinical trial comparing with pressure wire which is considered the current gold standard of blood pressure(r=0.96)and home health care system by binary classification of Old’s/Young’s pulse waves via machine learning(accuracy 95%).

关键词： Sensor adjust Spider

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