首页 | 本学科首页   官方微博 | 高级检索  
     

兼顾多动作与轻量化的仿生假肢手设计创成
引用本文:雍旭,景晓蓓,矢吹佳子,東鄉俊太,横井浩史,李光林. 兼顾多动作与轻量化的仿生假肢手设计创成[J]. 集成技术, 2022, 11(4): 31-43
作者姓名:雍旭  景晓蓓  矢吹佳子  東鄉俊太  横井浩史  李光林
作者单位:中国科学院深圳先进技术研究院 深圳 518055;日本国立电气通信大学 东京 1828585
基金项目:广东省重点领域研发计划项目(202080909020004);深圳市科技计划项目(CIGIZD20200617103002006)
摘    要:假肢手的动作数量与轻量化之间存在矛盾关系,为兼顾两者之间的平衡,满足假肢手多动作和轻量化的要求,该研究通过分析人手的16种日常抓取动作,设计了一种合理的电机驱动结构。该结构在四指中应用了多关节同时屈曲传动,在拇指中应用了定轨迹适应性传动,掌骨使用可自动切换为弧面和平面的对称弹性串联驱动式传动,以及配置五指的自动伸展,将这些机能融合在假肢手中,仅用3个电机实现了11 种假肢手动作,达到了132.1 g的轻量化设计。该文还通过肌电信号结合神经网络算法,实现了假肢手直觉控制,并验证了其具有良好的抓取稳定性和操作性。

关 键 词:轻量化  多动作  适应性抓取  对称弹性串联驱动式传动:神经网络算法:仿生假肢手

Design and Fabrication of a Bionic Prosthetic Hand with Multi-Motions and Light Weight
YONG Xu,JING Xiaobei,YABUKI Yoshiko,TOGO Shunt,YOKOI Hiroshi,LI Guanglin. Design and Fabrication of a Bionic Prosthetic Hand with Multi-Motions and Light Weight[J]. , 2022, 11(4): 31-43
Authors:YONG Xu  JING Xiaobei  YABUKI Yoshiko  TOGO Shunt  YOKOI Hiroshi  LI Guanglin
Affiliation:Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China;School of Artificial Intelligence and Computer Scinece, Jiangnan University, Wuxi 214122, China;The Universily of Electro Communications, Tokyo 1828585, Japan
Abstract:It is still a challenge to design a hand prosthesis with a consideration of multi- motions and light weight. In this paper, by analyzing 16 commonly-used motions of human hands, a trade-off plan between weight saving and the number of motions of a hand prosthesis is studied. We determine the functions to be implemented as a constant interlock mechanism of four fingers. An adaptive mechanism is applied for the thumb, and the symmetric series elastic actuator is used for the arching of metacarpal. With such a design, a prosthetic hand was designed just using three motors embedded in the palm, which has weight of 132.1 g and could perform 11 motions. The grasping stability and operability of the hand prosthesis were confirmed with intuitive myoelectric control based on a neural network algorithm in the subject experiments.
Keywords:light weight   multi-motion   adaptive grasping   symmetric series elastic actuator   neural network,algorithm   bionic prosthetic hand
点击此处可从《集成技术》浏览原始摘要信息
点击此处可从《集成技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号