A Review of Soft Crawling Robots with Different Driving Methods

爬行 机器人 灵活性(工程) 计算机科学 领域(数学) 软质材料 人工智能 人机交互 模拟 工程类 纳米技术 材料科学 数学 统计 纯数学 解剖 医学
作者
Dedong Tang,Gang Wang,Chunyan Tang,Wenzhuo Yu,Xin Lv
出处
期刊:Recent Patents on Engineering [Bentham Science]
卷期号:18 (1)
标识
DOI:10.2174/1872212117666230213121019
摘要

Background: Traditional rigid robots are difficult to adapt to complex unstructured environments due to their limited degree of freedom and lack of flexibility. Therefore, soft crawling robots are concerned widely by their powerful deformation ability, infinite number of degrees of freedom, and effective interaction with humans. Objective: This paper aims to report the recent progress of soft crawling robots and provide a reference for readers in this field. Methods: By reading and summarizing the patents and papers related to soft crawling robots in recent years, they are divided into three categories according to different driving methods. The structure, motion mechanism, characteristics, and applications of each class of robots are compared and analyzed. Results: The advantages and disadvantages of each driving method are analyzed, and the key issues in soft crawling robots are pointed out. Based on this, the future development direction of this research field is predicted. Conclusion: The study shows that according to the driving method, soft crawling robots are classified as pressure driven, motor-wire driven, and soft active material driven. In addition, the characteristics of each drive are summarized. In the future, soft crawling robots will have more potential applications in biomedicine, outdoor survey, rescue search, and inspection and maintenance of equipment.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
1秒前
3秒前
量子星尘发布了新的文献求助10
3秒前
5秒前
榴芒兔应助芸栖采纳,获得10
5秒前
小蘑菇应助xin采纳,获得10
5秒前
封梵完成签到,获得积分10
6秒前
Akim应助HM采纳,获得10
6秒前
hh发布了新的文献求助10
7秒前
瓜瓜发布了新的文献求助10
7秒前
希望天下0贩的0应助大块采纳,获得10
7秒前
7秒前
8秒前
香蕉觅云应助Yun采纳,获得30
8秒前
9秒前
9秒前
文艺的雨完成签到,获得积分10
11秒前
yhbys完成签到,获得积分10
11秒前
领导范儿应助hh采纳,获得10
13秒前
动静结合发布了新的文献求助10
13秒前
yar应助一新采纳,获得10
13秒前
李昕123发布了新的文献求助10
14秒前
hhllhh发布了新的文献求助10
14秒前
15秒前
15秒前
16秒前
jadechu完成签到,获得积分10
16秒前
16秒前
17秒前
Pheonix1998完成签到,获得积分10
18秒前
19秒前
CodeCraft应助霸气乘风采纳,获得10
19秒前
开朗又菱完成签到,获得积分10
20秒前
xin发布了新的文献求助10
20秒前
积极以云发布了新的文献求助10
21秒前
步念完成签到,获得积分10
21秒前
大块发布了新的文献求助10
22秒前
Ae发布了新的文献求助10
22秒前
wangting完成签到,获得积分10
22秒前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 2390
A new approach to the extrapolation of accelerated life test data 1000
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 360
Atlas of Interventional Pain Management 300
热门求助领域 (近24小时)
化学 材料科学 医学 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4006689
求助须知:如何正确求助?哪些是违规求助? 3546469
关于积分的说明 11296161
捐赠科研通 3282138
什么是DOI,文献DOI怎么找? 1809928
邀请新用户注册赠送积分活动 885728
科研通“疑难数据库(出版商)”最低求助积分说明 811078