Multimodal Locomotion of Magnetic Droplet Robots Using Orthogonal Pairs of Coils

被引:7
作者
Ramos-Sebastian, Armando [1 ,2 ]
Lee, Ja Sung [1 ]
Kim, Sung Hoon [1 ,3 ]
机构
[1] Wonkwang Univ, Dept Elect Convergence Engn, Iksan 54538, South Korea
[2] Jeonbuk Natl Univ, Dept IT Convergence Mechatron Engn, Jeonju 54896, South Korea
[3] Wonkwang Univ, Wonkwang Inst Mat Sci & Technol, Iksan 54538, South Korea
基金
新加坡国家研究基金会;
关键词
collective control of magnetic robots; electromagnetic coil system; ferrofluid droplets; selective control of magnetic robots; FERROFLUID DROPLET; MANIPULATION;
D O I
10.1002/aisy.202300133
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, several fluidlike, shape-adaptable magnetic microrobots have been developed to overcome the drawbacks posed by the rigid structure of traditional magnetic microrobots. However, most of their control systems rely on permanent magnet-based systems, which are unfeasible for large-scale environments, such as in vivo applications. Herein, an electromagnetic system comprising orthogonal pairs of coils is used to generate global magnetic fields, that is, magnetic fields that are applied equally to large volumes, for the multimodal locomotion of ferrofluidic robots composed of magnetic micro-/nanoparticles. Three main magnetic field configurations, with their respective locomotion mechanisms, are explored: uniform rotating fields for droplet fission-fusion motions and locomotion; magnetic trapping point-based locomotion for single- and collective-droplet manipulation; and field-free region-based dragging locomotion and selective droplet control. The effectiveness of the proposed multimodal locomotion mechanisms and potential applications are experimentally demonstrated in minichannels through selective mixing, targeted delivery, and optimized magnetic heating applications. These locomotion mechanisms using global fields enable the use of fluidlike magnetic microrobots in large-volume applications.
引用
收藏
页数:14
相关论文
共 39 条
[1]   A Shapeshifting Ferrofluidic Robot [J].
Ahmed, Reza ;
Ilami, Mahdi ;
Bant, Joseph ;
Beigzadeh, Borhan ;
Marvi, Hamid .
SOFT ROBOTICS, 2021, 8 (06) :687-698
[2]   Solid-Liquid State Transformable Magnetorheological Millirobot [J].
Chen, Zhipeng ;
Lu, Weibin ;
Li, Yuanyuan ;
Liu, Pengfei ;
Yang, Yawen ;
Jiang, Lelun .
ACS APPLIED MATERIALS & INTERFACES, 2022, 14 (26) :30007-30020
[3]   Magnetic vitrimer-based soft robotics [J].
Dong, Gaoweiang ;
He, Qiguang ;
Cai, Shengqiang .
SOFT MATTER, 2022, 18 (39) :7604-7611
[4]   Moisture-Adaptive Contractile Biopolymer-Derived Fibers for Wound Healing Promotion [J].
Dong, Lizhong ;
Zhang, Wei ;
Ren, Ming ;
Li, Yuxuan ;
Wang, Yulian ;
Zhou, Yurong ;
Wu, Yulong ;
Zhang, Zhijun ;
Di, Jiangtao .
SMALL, 2023, 19 (27)
[5]   Scale-reconfigurable miniature ferrofluidic robots for negotiating sharply variable spaces [J].
Fan, Xinjian ;
Jiang, Yihui ;
Li, Mingtong ;
Zhang, Yunfei ;
Tian, Chenyao ;
Mao, Liyang ;
Xie, Hui ;
Sun, Lining ;
Yang, Zhan ;
Sitti, Metin .
SCIENCE ADVANCES, 2022, 8 (37)
[6]   Reconfigurable multifunctional ferrofluid droplet robots [J].
Fan, Xinjian ;
Dong, Xiaoguang ;
Karacakol, Alp C. ;
Xie, Hui ;
Sitti, Metin .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (45) :27916-27926
[7]   Small-scale soft-bodied robot with multimodal locomotion [J].
Hu, Wenqi ;
Lum, Guo Zhan ;
Mastrangeli, Massimo ;
Sitti, Metin .
NATURE, 2018, 554 (7690) :81-85
[8]   Feedbackless Automatic Control of Magnetic Milli/Microrobots: Generation and Control of a Trapping Point Using a Single Coil Electromagnetic System [J].
Hwang, Seungchan ;
Ramos-Sebastian, Armando ;
Kim, Sung Hoon .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 27 (05) :2997-3007
[9]   Development and Verification of Mechanism for Enhancement of Steering Angle and Active Locomotion for Magnetic Micro Active-Guidewire [J].
Jeon, Guk-Hong ;
Kim, Sung Hoon .
IEEE ACCESS, 2020, 8 :31103-31113
[10]   Biocompatible Ferrofluid Robot With Photothermal Property for Targeted Tumor Therapy [J].
Ji, Yiming ;
Bai, Xue ;
Sun, Hongyan ;
Wang, Luyao ;
Xu, Junjie ;
Gan, Chunyuan ;
Dai, Yuguo ;
Hui, Hui ;
Feng, Lin .
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (04) :11517-11522