软机器人
刚度
软质材料
机器人
材料科学
超材料
计算机科学
可扩展性
机械工程
纳米技术
人工智能
复合材料
工程类
光电子学
操作系统
作者
Jun Kyu Choe,Jiaxuan Yi,Hanhyeok Jang,Heejae Won,Suwoo Lee,Hajun Lee,Yeonwoo Jang,Hyeonseo Song,Jiyun Kim
标识
DOI:10.1002/adma.202304302
摘要
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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