热塑性聚氨酯
压阻效应
可控性
软机器人
形状记忆聚合物
材料科学
刚度
机械工程
弹性体
导电体
机器人
职位(财务)
计算机科学
复合材料
工程类
形状记忆合金
人工智能
数学
财务
应用数学
经济
作者
Yang Yang,Yonghua Chen,Yingtian Li,Zheng Wang,Yunquan Li
出处
期刊:Soft robotics
[Mary Ann Liebert]
日期:2017-06-16
卷期号:4 (4): 338-352
被引量:118
标识
DOI:10.1089/soro.2016.0060
摘要
Despite the increasing popularity of soft robotic research, the application of soft robots is hindered by their limited ability to change compliance and acquire force and position feedback. In this article, both the controllability of compliance and the acquisition of position feedback are achieved in soft robotic fingers in the novel design of a three-dimensional (3D)-printed multismart material substrate. The substrate is composed of shape memory polymer (SMP) and conductive elastomer thermoplastic polyurethane (TPU). The SMP material is utilized to modulate the finger stiffness through its elastic modulus change around glass transition temperature (Tg). The conductive TPU has two functions: one is to tune SMP temperature by producing Joule heat when electrical power is supplied and the other is to provide position feedback of the finger by utilizing the piezoresistive effect of the conductive TPU. Theoretical modeling of finger position feedback and stiffness modulation are conducted. The theoretical analysis has been experimentally validated by a prototype robotic finger built from the proposed concept.
科研通智能强力驱动
Strongly Powered by AbleSci AI