Magnetic Soft Microrobot Design for Cell Grasping and Transportation

计算机科学 工程类
作者
Fanghao Wang,Youchao Zhang,Daoyuan Jin,Zhongliang Jiang,Yaqian Liu,Alois Knoll,Huanyu Jiang,Yibin Ying,Mingchuan Zhou
出处
期刊:Cyborg and bionic systems [American Association for the Advancement of Science]
卷期号:5 被引量:3
标识
DOI:10.34133/cbsystems.0109
摘要

Manipulating cells at a small scale is widely acknowledged as a complex and challenging task, especially when it comes to cell grasping and transportation. Various precise methods have been developed to remotely control the movement of microrobots. However, the manipulation of micro-objects necessitates the use of end-effectors. This paper presents a study on the control of movement and grasping operations of a magnetic microrobot, utilizing only 3 pairs of electromagnetic coils. A specially designed microgripper is employed on the microrobot for efficient cell grasping and transportation. To ensure precise grasping, a bending deformation model of the microgripper is formulated and subsequently validated. To achieve precise and reliable transportation of cells to specific positions, an approach that combines an extended Kalman filter with a model predictive control method is adopted to accomplish the trajectory tracking task. Through experiments, we observe that by applying the proposed control strategy, the mean absolute error of path tracking is found to be less than 0.155 mm. Remarkably, this value accounts for only 1.55% of the microrobot’s size, demonstrating the efficacy and accuracy of our control strategy. Furthermore, an experiment involving the grasping and transportation of a zebrafish embryonic cell (diameter: 800 μm) is successfully conducted. The results of this experiment not only validate the precision and effectiveness of the proposed microrobot and its associated models but also highlight its tremendous potential for cell manipulation in vitro and in vivo.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
坚定的白薇完成签到,获得积分10
刚刚
小高完成签到 ,获得积分10
刚刚
天天快乐应助Gary采纳,获得10
1秒前
老魏老魏完成签到,获得积分10
1秒前
wenwen发布了新的文献求助10
3秒前
hhh完成签到,获得积分20
3秒前
3秒前
4秒前
jinmai完成签到 ,获得积分10
4秒前
jojojojojo发布了新的文献求助10
4秒前
4秒前
mika完成签到,获得积分10
4秒前
宁宁完成签到,获得积分10
5秒前
FashionBoy应助潘越采纳,获得10
6秒前
lizishu应助kumoi采纳,获得10
7秒前
orixero应助Xiaowen采纳,获得10
7秒前
自由的新波完成签到,获得积分10
8秒前
丿丶恒发布了新的文献求助10
9秒前
Jayavi发布了新的文献求助10
9秒前
10秒前
科目三应助科研通管家采纳,获得10
11秒前
CipherSage应助科研通管家采纳,获得10
11秒前
科目三应助科研通管家采纳,获得10
11秒前
11秒前
11秒前
NexusExplorer应助科研通管家采纳,获得10
11秒前
汉堡包应助科研通管家采纳,获得10
11秒前
乐乐应助科研通管家采纳,获得10
11秒前
充电宝应助科研通管家采纳,获得10
11秒前
张凯发布了新的文献求助20
12秒前
13秒前
13秒前
天一完成签到,获得积分10
14秒前
Tomma完成签到,获得积分10
15秒前
15秒前
陈进完成签到,获得积分10
16秒前
tiffany发布了新的文献求助10
16秒前
研友_VZG7GZ应助丿丶恒采纳,获得30
17秒前
鸭鸭完成签到,获得积分10
18秒前
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Founders of Experimental Physiology: biographies and translations 500
ON THE THEORY OF BIRATIONAL BLOWING-UP 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6373098
求助须知:如何正确求助?哪些是违规求助? 8186656
关于积分的说明 17280968
捐赠科研通 5427241
什么是DOI,文献DOI怎么找? 2871328
邀请新用户注册赠送积分活动 1848102
关于科研通互助平台的介绍 1694376