软机器人
刚度
智能材料
材料科学
硅橡胶
合成
执行机构
形状记忆合金
抗弯刚度
人工肌肉
软质材料
弯曲
工作(物理)
机械工程
复合材料
计算机科学
纳米技术
人工智能
工程类
图像(数学)
作者
Emily A. Allen,Lee D. Taylor,John Swensen
标识
DOI:10.1088/1361-665x/ab1ec9
摘要
This paper presents an initial step towards a new class of soft robotics materials, where localized, geometric patterning of smart materials can exhibit discrete levels of stiffness through combinations of smart materials. This work is inspired by a variety of biological systems where actuation is accomplished by modulating the local stiffness in conjunction with muscle contractions. Whereas most biological systems use hydrostatic mechanisms to achieve stiffness variability, and many robotic systems have mimicked this mechanism, this work aims to use smart materials to achieve this stiffness variability. Here the compositing of the low melting point Field's metal, shape memory alloy Nitinol, and a low melting point thermoplastic Polycaprolactone (PCL), composited in simple beam structure encased in silicone rubber is presented. A simple two-joint soft robotic finger is constructed to demonstrate the dexterous capabilities of smart composite materials. The comparison in bending stiffnesses at different temperatures, which reside between the activation temperatures of the composited smart materials demonstrates the ability to achieve discrete levels of stiffnesses within the soft robotic tissue.
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