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作者:

Li, Jianfeng (Li, Jianfeng.) (学者:李剑锋) | Zhang, Ziqiang (Zhang, Ziqiang.) | Tao, Chunjing (Tao, Chunjing.) | Ji, Run (Ji, Run.)

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摘要:

The goal of this article is to present a number synthesis method for the self-adapting upper-limb rehabilitation exoskeletons. The human joint kinematics and the variability of joint axes around their supposed locations were analyzed; the axes misalignments caused by the wearing error and the movement coupling between joint rotations and axes motions in human joints were taken into account, and the kinematic incompatibility of upper-limb exoskeletons was investigated from an over-actuation perspective. Then, a number synthesis method of the self-adapting upper-limb exoskeletons was proposed by using the traditional degrees of freedom analysis approach of spatial multiloop chains. Applying this method, the basic chains of the self-adapting four-degrees of freedom shoulder-elbow and five-degrees of freedom shoulder-elbow-forearm exoskeletons were synthesized and classified into three and two groups, respectively. Finally, the feasible simplified chains of the self-adapting upper-limb exoskeletons were investigated with the consideration of the quasi-anthropopathic feature and structure simplicity, and several examples were enumerated. The proposed simplified chains could be used as the candidates for further studies on the performance analysis, the chain compare and selection, and structure design of the self-adapting upper-limb exoskeletons.

关键词:

axes misalignment number synthesis over-actuation self-adapting Upper-limb exoskeleton

作者机构:

  • [ 1 ] [Li, Jianfeng]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Zhang, Ziqiang]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Ziqiang]Beihang Univ, Inst Robot, Beijing, Peoples R China
  • [ 4 ] [Tao, Chunjing]Natl Res Ctr Rehabil Tech Aids, Beijing, Peoples R China
  • [ 5 ] [Ji, Run]Natl Res Ctr Rehabil Tech Aids, Beijing, Peoples R China

通讯作者信息:

  • 李剑锋

    [Li, Jianfeng]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

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来源 :

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS

ISSN: 1729-8814

年份: 2017

期: 3

卷: 14

2 . 3 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:92

中科院分区:4

被引次数:

WoS核心集被引频次: 17

SCOPUS被引频次: 34

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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