A Review of Robotic Fish Based on Smart Materials

领域(数学) 水下 智能材料 计算机科学 光学(聚焦) 钥匙(锁) 系统工程 人机交互 模拟 工程类 纳米技术 渔业 计算机安全 生物 海洋学 光学 物理 地质学 材料科学 纯数学 数学
作者
Shiwei Ma,Quanliang Zhao,Meng-Ning Ding,Mengying Zhang,Lei Zhao,Can Huang,Jie Zhang,Xu Liang,Junjie Yuan,Xingtao Wang,Guangping He
出处
期刊:Biomimetics [MDPI AG]
卷期号:8 (2): 227-227 被引量:5
标识
DOI:10.3390/biomimetics8020227
摘要

The present study focuses on summarizing the recent advancements in the field of fish swimming mode research and bionic robotic fish prototypes based on smart materials. It has been widely acknowledged that fish exhibit exceptional swimming efficiency and manoeuvrability compared to conventional underwater vehicles. In the pursuit of developing autonomous underwater vehicles (AUVs), conventional experimental methods often prove to be complex and expensive. Hence, the utilization of computer simulations for hydrodynamic modelling provides a cost-effective and efficient approach for analysing the swimming behaviour of bionic robotic fish. Additionally, computer simulations can provide data that are difficult to obtain through experimental methods. Smart materials, which integrate perception, drive, and control functions, are increasingly being applied to bionic robotic fish research. However, the utilization of smart materials in this field is still an area of ongoing research and several challenges remain unresolved. This study provides an overview of the current state of research on fish swimming modes and the development of hydrodynamic modelling. The application of four distinct types of smart materials in bionic robotic fish is then reviewed, with a focus on analysing the advantages and disadvantages of each material in driving swimming behaviour. In conclusion, the paper highlights the key technical challenges that must be addressed for the practical implementation of bionic robotic fish and provides insights into the potential future directions of this field.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
晴光发布了新的文献求助10
刚刚
剪影改发布了新的文献求助10
1秒前
1秒前
orixero应助春日无梦采纳,获得10
3秒前
脑洞疼应助科研通管家采纳,获得10
3秒前
顾矜应助科研通管家采纳,获得10
3秒前
大个应助科研通管家采纳,获得10
3秒前
深情安青应助科研通管家采纳,获得10
3秒前
852应助科研通管家采纳,获得10
4秒前
爆米花应助科研通管家采纳,获得10
4秒前
wy.he应助科研通管家采纳,获得10
4秒前
吴彦祖应助科研通管家采纳,获得10
4秒前
丘比特应助科研通管家采纳,获得10
4秒前
田様应助科研通管家采纳,获得10
4秒前
王敬顺应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
4秒前
追寻的莺完成签到 ,获得积分10
4秒前
张多发布了新的文献求助10
5秒前
PP发布了新的文献求助10
5秒前
地学韦丰吉司长完成签到,获得积分10
5秒前
tang发布了新的文献求助10
5秒前
wangdunli完成签到,获得积分10
6秒前
双勾玉完成签到,获得积分10
6秒前
爆米花应助冰冷天蝎座采纳,获得10
7秒前
8秒前
英俊的铭应助双勾玉采纳,获得10
10秒前
英俊的铭应助凉快采纳,获得10
11秒前
11秒前
AH106给violin的求助进行了留言
11秒前
wmm20035发布了新的文献求助10
13秒前
yanmu2010应助tang采纳,获得10
14秒前
酷炫邑发布了新的文献求助10
15秒前
拜拜拜仁完成签到,获得积分10
15秒前
17秒前
香芋应助俏皮的豌豆采纳,获得10
17秒前
18秒前
椒盐丸子完成签到,获得积分10
19秒前
21秒前
高分求助中
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
A Chronicle of Small Beer: The Memoirs of Nan Green 1000
From Rural China to the Ivy League: Reminiscences of Transformations in Modern Chinese History 900
Migration and Wellbeing: Towards a More Inclusive World 900
Eric Dunning and the Sociology of Sport 850
Operative Techniques in Pediatric Orthopaedic Surgery 510
The Making of Détente: Eastern Europe and Western Europe in the Cold War, 1965-75 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2911119
求助须知:如何正确求助?哪些是违规求助? 2546091
关于积分的说明 6890479
捐赠科研通 2211115
什么是DOI,文献DOI怎么找? 1174987
版权声明 588039
科研通“疑难数据库(出版商)”最低求助积分说明 575618