Bira Nicholas, Dhagat Pallavi, Davidson Joseph R
Collaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvallis, OR, United States.
School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, United States.
Front Robot AI. 2020 Oct 23;7:588391. doi: 10.3389/frobt.2020.588391. eCollection 2020.
Soft robotics as a field of study incorporates different mechanisms, control schemes, as well as multifunctional materials to realize robots able to perform tasks inaccessible to traditional rigid robots. Conventional methods for controlling soft robots include pneumatic or hydraulic pressure sources, and some more recent methods involve temperature and voltage control to enact shape change. Magnetism was more recently introduced as a building block for soft robotic design and control, with recent publications incorporating magnetorheological fluids and magnetic particles in elastomers, to realize some of the same objectives present in more traditional soft robotics research. This review attempts to organize and emphasize the existing work with magnetism and soft robotics, specifically studies on magnetic elastomers, while highlighting potential avenues for further research enabled by these advances.
软机器人技术作为一个研究领域，融合了不同的机制、控制方案以及多功能材料，以实现能够执行传统刚性机器人无法完成的任务的机器人。控制软机器人的传统方法包括气动或液压源，最近一些方法涉及温度和电压控制以实现形状变化。磁性最近被引入作为软机器人设计和控制的一个组成部分，最近的出版物将磁流变液和磁性颗粒纳入弹性体中，以实现与更传统的软机器人技术研究相同的一些目标。本综述试图整理和强调现有的关于磁性与软机器人技术的工作，特别是对磁性弹性体的研究，同时突出这些进展所带来的进一步研究的潜在途径。
