首页> 美国卫生研究院文献>Micromachines >Development and Evaluation of an Adaptive Multi-DOF Finger with Mechanical-Sensor Integrated for Prosthetic Hand
【2h】

Development and Evaluation of an Adaptive Multi-DOF Finger with Mechanical-Sensor Integrated for Prosthetic Hand

机译:具有用于假肢的机械传感器的自适应多DOF手指的开发和评估

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

To realize the adaptive grasping of objects with diverse shapes and to capture the joint angles of the finger, a multi degree of freedom (DOF) adaptive finger for prosthetic hand is proposed in this paper. The fingers are designed with three joints. The maximum rotation angle of the finger joints is 90°. The angle at which the finger joints bend can be captured. Firstly, the prototype design, forward kinematics and force analysis of phalanges are described in detail. In order to achieve an adaptive motion pattern similar to that of the human hand, this paper investigates the optimization of the torsion spring stiffness coefficient so that the metacarpophalangeal (MCP) joints, proximal interphalangeal (PIP) joints, and distal interphalangeal (DIP) joints of the bionic finger meet a motion ratio of approximately 3:3:1. Then, in order to realize the joint angle measurement in the process of grasping an object, the mechanical-sensor integrated finger joint is designed, and the composition, angle measurement principle and measurement circuit are introduced in detail. Finally, joint angle measurement, movement law evaluation and object grasping experiments are performed to verify the validity of the designed finger. The experimental results show that the root-mean-square (RMS) of the DIP, PIP and MCP angle measurement errors are 0.36°, 0.59° and 0.32°, respectively. The designed finger is able to grasp objects with different shapes stably.
机译:为了实现具有不同形状的物体的自适应抓握并捕获手指的关节角度,本文提出了一种多程度的自由度(DOF)自适应手指,用于假肢。手指设计有三个关节。手指接头的最大旋转角度为90°。可以捕获手指接头弯曲的角度。首先,详细描述了指体的原型设计,前进运动学和力分析。为了实现类似于人手的自适应运动模式,本文研究了扭转弹簧刚度系数的优化,使得Metacarpalangeal(MCP)关节,近端间骨膜(PIP)接头和远端间angalangeal(DIP)关节仿生手指的运动比约为3:3:1。然后,为了实现抓住物体的过程中的关节角度测量,设计了机械传感器集成手指接头,并详细介绍了组成,角度测量原理和测量电路。最后,进行关节角度测量,运动法评估和对象抓取实验以验证设计的手指的有效性。实验结果表明,浸渍,PIP和MCP角度测量误差的根平均方形(RMS)分别为0.36°,0.59°和0.32°。设计的手指能够稳定地抓住具有不同形状的物体。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号