拇指
工作区
运动学
计算机科学
软机器人
执行机构
人工智能
手势
光学(聚焦)
模拟
自由度(物理和化学)
机械手
有线手套
计算机视觉
仿生学
气动执行机构
工程类
假手
抓住
夹持器
机器人末端执行器
人机交互
气动人工肌肉
作者
Jianing Sun,Miao Feng,Di Yang,Yexun Wei,Guoying Gu
出处
期刊:Soft robotics
[Mary Ann Liebert, Inc.]
日期:2026-01-07
卷期号:: 21695172251400152-21695172251400152
标识
DOI:10.1177/21695172251400152
摘要
Fabric-based soft gloves, due to their safety, light weight, and compliance, exhibit promising potential in assisting individuals with hand impairments. However, most existing soft gloves focus solely on finger flexion and extension, with limited consideration for thumb assistance. This restricts their effectiveness in tasks requiring extensive workspace and dexterous manipulation. In this work, we present a new class of fabric-based soft glove with 15 degrees of freedom (DOFs), including finger flexion/extension, thumb abduction/adduction, thumb opposition/reposition, and finger abduction. The high-DOF fabric-based soft glove integrates bidirectional fabric-based pneumatic actuators (FPAs) for finger flexion/extension, X-crossing pneumatic artificial muscles (X-PAMs) for thumb assistance, and Y-shaped bladed FPAs for finger abduction. To enhance the thumb tip workspace, we optimize the X-PAM positioning by modeling thumb kinematics from an anatomical perspective. The experimental results show that the optimized passive workspace of the thumb, assisted by the glove, encompasses approximately 70% of its active workspace. Through our mirror control system, we further demonstrate the glove's capability to perform complex gestures and versatile grasping tasks with various object geometries, sizes (0.1-11.5 cm), and masses (1.7-500.0 g). The glove supports both power and precision grasps, as well as fine manipulations.
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