抓住
可穿戴计算机
机器人
欠驱动
外骨骼
有线手套
机制(生物学)
计算机科学
模拟
工程类
人工智能
手势
嵌入式系统
物理
量子力学
程序设计语言
作者
Hyunki In,Brian Byunghyun Kang,Minki Sin,Kyu‐Jin Cho
出处
期刊:IEEE Robotics & Automation Magazine
[Institute of Electrical and Electronics Engineers]
日期:2015-03-01
卷期号:22 (1): 97-105
被引量:423
标识
DOI:10.1109/mra.2014.2362863
摘要
Soft wearable robots are good alternatives to rigid-frame exoskeletons because they are compact and lightweight. This article describes a soft wearable hand robot called the Exo-Glove that uses a soft tendon routing system and an underactuation adaptive mechanism. The proposed system can be used to develop other types of soft wearable robots. The glove part of the system is compact and weighs 194 g. The results conducted using a healthy subject showed sufficient performance for the execution of daily life activities, namely a pinch force of 20 N, a wrap grasp force of 40 N, and a maximum grasped object size of 76 mm. The use of an underactuation mechanism enabled the grasping of objects of various shapes without active control. A subject suffering from paralysis of the hands due to a spinal cord injury was able to use the glove to grasp objects of various shapes.
科研通智能强力驱动
Strongly Powered by AbleSci AI