Exo-Glove Shell: A Hybrid Rigid-Soft Wearable Robot for Thumb Opposition with an Under-Actuated Tendon-Driven System

拇指 可穿戴计算机 软机器人 肌腱 机器人 计算机科学 欠驱动 工程类 模拟 人工智能 解剖 医学 嵌入式系统
作者
Byungchul Kim,Hyung‐Min Choi,Kyubum Kim,Sejin Jeong,Kyu-Jin Cho
出处
期刊:Soft robotics [Mary Ann Liebert, Inc.]
标识
DOI:10.1089/soro.2023.0089
摘要

Usability and functionality are important when designing hand-wearable robots; however, satisfying both indicators remains a challenging issue, even though researchers have made important progress with state-of-the-art robot components. Although hand-wearable robots require sufficient actuators and sensors considering their functionality, these components complicate the robot. Further, robot compliance should be carefully considered because it affects both indicators. For example, a robot's softness makes it compact (improving usability) but also induces inaccurate force transmission (impacting functionality). To address this issue, we present in this paper a tendon-driven, hybrid, hand-wearable robot, named Exo-Glove Shell. The proposed robot assists in three primitive motions (i.e., thumb opposition motion, which is known as one of the most important hand functions, and flexion/extension of the index/middle fingers) while employing only four actuators by using an under-actuation mechanism. The Exo-Glove Shell was designed by combining a soft robotic body with rigid tendon router modules. The use of soft garments enables the robot to be fitted well to users without customization or adjustment of the mechanisms; the metal routers facilitate accurate force transmission. User tests conducted with an individual with a spinal cord injury (SCI) found that the robot could sufficiently and reliably assist in three primitive motions through its four actuators. The research also determined that the robot can assist in various postures with sufficient stability. Based on the grasp stability index proposed in this paper, user stability-when assisted by the proposed robot-was found to be 4.75 times that of an SCI person who did not use the Exo-Glove Shell.
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
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
上官若男的应助被科研通管家采纳,获得10
刚刚
Criminology34的应助被科研通管家采纳,获得10
1秒前
星辰大海的应助被科研通管家采纳,获得10
1秒前
李爱国的应助被科研通管家采纳,获得10
1秒前
liyong完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
1秒前
v0id的应助被科研通管家采纳,获得10
1秒前
深情安青的应助被科研通管家采纳,获得10
1秒前
馍夹菜的应助被科研通管家采纳,获得10
1秒前
核桃的应助被科研通管家采纳,获得30
2秒前
Criminology34的应助被科研通管家采纳,获得10
2秒前
Ava的应助被科研通管家采纳,获得10
2秒前
2秒前
核桃的应助被科研通管家采纳,获得30
2秒前
香蕉觅云的应助被科研通管家采纳,获得10
2秒前
2秒前
Ava的应助被科研通管家采纳,获得10
2秒前
3秒前
Irony发布了新的文献求助10
3秒前
3秒前
3秒前
3秒前
4秒前
zzz发布了新的文献求助10
4秒前
4秒前
hacker_z完成签到,获得积分10
4秒前
4秒前
vampv的应助被快乐十一采纳,获得10
5秒前
踏月偷心发布了新的文献求助10
5秒前
无情硬币发布了新的文献求助10
5秒前
5秒前
juju发布了新的文献求助10
5秒前
yzee发布了新的文献求助10
6秒前
DragonScience完成签到,获得积分10
7秒前
yglove发布了新的文献求助10
7秒前
agathazz发布了新的文献求助10
8秒前
kw87发布了新的文献求助10
8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
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Challenging Attachment Theory 600
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8138586
求助须知:如何正确求助?哪些是违规求助? 9539127
关于积分的说明 21634149
捐赠科研通 7722572
什么是DOI,文献DOI怎么找? 3420584
关于科研通互助平台的介绍 2545793
邀请新用户注册赠送积分活动 2462500