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作者:

Zuo, Shiping (Zuo, Shiping.) | Li, Jianfeng (Li, Jianfeng.) (学者:李剑锋) | Dong, Mingjie (Dong, Mingjie.) | Zhou, Xiaodong (Zhou, Xiaodong.) | Fan, Wenpei (Fan, Wenpei.) | Kong, Yuan (Kong, Yuan.)

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摘要:

Repetitive and intensive physiotherapy is indispensable to patients with ankle disabilities. Increasingly robot-assisted technology has been employed in the treatment to reduce the burden of the therapists and the related costs of the patients. This paper proposes a configuration of a wearable parallel mechanism to supplement the equipment selection for ankle rehabilitation. The kinematic analysis, i.e., the inverse position solution and Jacobian matrices, is elaborated. Several performance indices, including the reachable workspace index, motion isotropy index, force transfer index, and maximum torque index, are developed based on the derived kinematic solution. Moreover, according to the proposed kinematic configuration and wearable design concept, the mechanical structure that contains a basic machine-drive system and a multi-model position/force data collection system is designed in detail. Finally, the results of the performance evaluation indicate that the wearable parallel robot possesses sufficient motion isotropy, high force transfer performance, and large maximum torque performance within a large workspace that can cover all possible range of motion of human ankle complex, and is suitable for ankle rehabilitation.

关键词:

performance indices performance evaluation parallel robot mechanical design ankle rehabilitation

作者机构:

  • [ 1 ] [Zuo, Shiping]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China
  • [ 2 ] [Li, Jianfeng]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China
  • [ 3 ] [Dong, Mingjie]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China
  • [ 4 ] [Fan, Wenpei]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China
  • [ 5 ] [Kong, Yuan]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China
  • [ 6 ] [Zhou, Xiaodong]Beijing Inst Control Engn, Beijing, Peoples R China

通讯作者信息:

  • [Dong, Mingjie]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China

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来源 :

FRONTIERS IN NEUROROBOTICS

ISSN: 1662-5218

年份: 2020

卷: 14

3 . 1 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:132

被引次数:

WoS核心集被引频次: 23

SCOPUS被引频次: 30

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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