Smart material composites for discrete stiffness materials
Emily A. Allen, Lee D. Taylor, John Swensen
- 发表年份
- 2019
- 引用次数
- 16
摘要
Abstract 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.
关键词
相关论文
Real-Time Obstacle Avoidance for Manipulators and Mobile Robots
Oussama Khatib
1986
A Mathematical Introduction to Robotic Manipulation
Richard M. Murray, Zexiang Li, Shankar Sastry
2017
Design, fabrication and control of soft robots
Daniela Rus, Michael T. Tolley
2015
A review of shape memory alloy research, applications and opportunities
Jaronie Mohd Jani, Martin Leary, Aleksandar Subic 等 4 位作者
2013