Bio-hybrid soft robots with self-stimulating skeletons

机器人 过程(计算) 执行机构 计算机科学 仿生学 功能性电刺激 人工肌肉 软机器人 骨骼肌 生物系统 材料科学 纳米技术 生物医学工程 刺激 模拟 工程类 人工智能 解剖 神经科学 生物 操作系统
作者
Maria Guix,Rafael Mestre,Tania Patiño,Marco De Corato,Giulia Zarpellon,Samuel Sánchez
标识
DOI:10.1101/2020.09.16.299719
摘要

Abstract Bioinspired hybrid soft robots combining living actuation and synthetic components are an emerging field in the development of advanced actuators and other robotic platforms (i.e. swimmers, crawlers, walkers). The integration of biological components offers unique properties (e.g. adaptability, response to external stimuli) that artificial materials cannot replicate with accuracy, being skeletal and cardiac muscle cells the preferred candidates for providing contractile actuation. Here, we present a skeletal-muscle-based swimming biobot with a 3D-printed serpentine spring skeleton that provides mechanical integrity and self-stimulation during the cell maturation process. The restoring force inherent to the spring system allows a dynamic skeleton compliance upon spontaneous muscle contraction, leading to a novel cyclic mechanical stimulation process that improves the muscle force output without external stimuli. Optimization of the 3D-printed skeletons is carried out by studying the geometrical stiffnesses of different designs via finite element analysis. Upon electrical actuation of the muscle tissue, two types of motion mechanisms are experimentally observed: i) directional swimming when the biobot is at the liquid-air interface and ii) coasting motion when it is near the bottom surface. The integrated compliant skeleton provides both the mechanical self-stimulation and the required asymmetry for directional motion, displaying its maximum velocity at 5 Hz (800 micrometer second −1 , 3 body length second −1 ). This skeletal muscle-based bio-hybrid swimmer attains speeds comparable to cardiac-based bio-hybrid robots and outperforms other muscle-based swimmers. The integration of serpentine-like structures in hybrid robotic systems allows self-stimulation processes that could lead to higher force outputs in current and future biomimetic robotic platforms.

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
胡芜湖完成签到,获得积分10
刚刚
Seven完成签到 ,获得积分10
1秒前
1秒前
小雨完成签到,获得积分10
1秒前
无极微光应助王乐采纳,获得20
2秒前
2秒前
qing1245完成签到,获得积分10
2秒前
萱1988完成签到,获得积分10
3秒前
chyy完成签到,获得积分10
4秒前
俊逸半山发布了新的文献求助10
4秒前
聪慧的幻巧完成签到,获得积分10
5秒前
binghua发布了新的文献求助10
5秒前
5秒前
JamesPei应助dzjin采纳,获得10
5秒前
嬴政飞完成签到,获得积分10
6秒前
电子屎壳郎完成签到,获得积分10
6秒前
歌者无罪发布了新的文献求助10
6秒前
半山完成签到,获得积分10
7秒前
小恐龙怪兽完成签到 ,获得积分10
7秒前
7秒前
张斯瑞完成签到,获得积分10
8秒前
细腻的代亦完成签到,获得积分10
8秒前
优雅的WAN完成签到 ,获得积分10
8秒前
清风完成签到 ,获得积分10
9秒前
小巧紫蓝完成签到,获得积分10
9秒前
JIECHENG完成签到 ,获得积分10
10秒前
无韶的月亮树完成签到,获得积分10
11秒前
轻松的曼凡完成签到,获得积分10
11秒前
HJ发布了新的文献求助10
11秒前
赘婿应助glittering采纳,获得10
11秒前
gengfu完成签到,获得积分10
12秒前
浅忆晨曦完成签到 ,获得积分10
12秒前
pigpromax完成签到,获得积分10
12秒前
安详靖柏完成签到,获得积分10
13秒前
谢大喵完成签到,获得积分10
13秒前
yunqingbai完成签到 ,获得积分10
13秒前
宠仙完成签到,获得积分10
14秒前
Y.J发布了新的文献求助10
16秒前
诚诚不差事完成签到,获得积分10
16秒前
牧小妮完成签到,获得积分10
16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
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Research Methods for Applied Linguistics 500
Picture Books with Same-sex Parented Families Unintentional Censorship 444
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 6414035
求助须知:如何正确求助?哪些是违规求助? 8232736
关于积分的说明 17477024
捐赠科研通 5466761
什么是DOI,文献DOI怎么找? 2888516
邀请新用户注册赠送积分活动 1865364
关于科研通互助平台的介绍 1703234