J. Setiawan, M. Ariyanto, Sri Nugroho, M. Munadi, R. Ismail
{"title":"A Soft Exoskeleton Glove Incorporating Motor-Tendon Actuator for Hand Movements Assistance","authors":"J. Setiawan, M. Ariyanto, Sri Nugroho, M. Munadi, R. Ismail","doi":"10.15866/ireaco.v13i1.18274","DOIUrl":null,"url":null,"abstract":"Hand paralysis can inhibit daily activities, for example, grasping a particular food or an object. With the advancement of science and technology today especially in wearable robot technology, normal hand function can be recovered with the help of wearable soft robotic glove. This robot has a mechanism that resembles the working mechanism of the hand itself. The purpose of this study is to develop a low-cost soft exoskeleton glove made from silicone rubber using a tendon-based mechanism. The molding of the soft glove is designed using SolidWorks CAD software. Dual-slack enabling actuators are designed and manufactured as the actuator system of the soft exoskeleton glove. The proposed actuator is used as flexion and extension motion for the human hand. This motion enables the soft exoskeleton glove to provide mechanical support for the human hand. A potentiometer sensor is used in the dual-slack enabling actuator for measuring the rotating angle of the actuator that is connected to the tendon and soft exoskeleton glove. The actuator is controlled using on-off and Proportional-Integral (PI) control. After the soft exoskeleton glove system is integrated, the soft robot is implemented on a healthy human hand to assist the grasping of various objects. The measurement for the wearable robot is performed by using serial communication between Arduino Nano microcontroller and the host computer. Based on the experimental results, the soft glove can successfully assist and support the user’s hand for various object grasping. Copyright © 2020 Praise Worthy Prize S.r.l. All rights reserved.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"1"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Automatic Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15866/ireaco.v13i1.18274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 3
一种软性外骨骼手套,包含用于手部运动辅助的电机-肌腱驱动器
手部麻痹可以抑制日常活动,例如,抓取特定的食物或物体。随着当今科技的进步,特别是可穿戴机器人技术的进步,可以借助可穿戴的柔软机器人手套来恢复正常的手部功能。这个机器人有一个类似于手本身的工作机构。本研究的目的是开发一种低成本的软外骨骼手套,由硅橡胶制成,使用基于肌腱的机制。利用SolidWorks CAD软件对软手套的成型进行设计。设计并制造了双松弛致动器作为柔性外骨骼手套的致动器系统。所提出的驱动器用于人手的屈伸运动。这种运动使柔软的外骨骼手套能够为人手提供机械支撑。双松弛使能致动器中使用电位器传感器,用于测量与肌腱和软外骨骼手套相连的致动器的旋转角度。执行器采用开关和比例积分(PI)控制。将软外骨骼手套系统集成后,将软机器人安装在健康人的手上,辅助抓取各种物体。可穿戴机器人的测量是通过Arduino纳米微控制器与上位机之间的串行通信实现的。实验结果表明,该软手套能够成功地辅助和支撑使用者的手进行各种物体抓取。版权所有©2020 Praise Worthy Prize S.r.l
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