干扰
软机器人
刚度
机器人学
人工智能
抗弯刚度
变量(数学)
执行机构
计算机科学
机器人
图层(电子)
机械工程
模拟
工程类
材料科学
结构工程
纳米技术
数学
物理
数学分析
热力学
作者
Tao Wang,Jinhua Zhang,Yue Li,Jun Hong,Michael Yu Wang
出处
期刊:IEEE-ASME Transactions on Mechatronics
[Institute of Electrical and Electronics Engineers]
日期:2019-01-16
卷期号:24 (2): 424-433
被引量:137
标识
DOI:10.1109/tmech.2019.2893480
摘要
A novel layer jamming variable stiffness technique for soft robotics is proposed in this paper, which we call electrostatic layer jamming (ELJ). The basic principle of the ELJ is using electrostatic attraction to squeeze material layers to generate friction and then engage jamming. Based on this technique, several specimens used in two common application scenarios including variable tensile stiffness and variable bending stiffness are fabricated, and their stiffness adjustment characteristics are investigated experimentally. Surprisingly, the test data are much larger than the theoretical prediction, which we think is because of the formation of local low air pressure regions between the contact surfaces. Also, the experimental results show that the ELJ technique possesses a large capability of stiffness changing and is space saving. The potential values of the ELJ have been shown by performing with a soft linear actuator for three representative practical applications in the soft robotic field. Finally, the existing problems and advantages of the ELJ technique are discussed, and we believe that this technique will inspire new ways and new opportunities for the soft robotic community.
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