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Author:

Li, Guotao (Li, Guotao.) | Liang, Xu (Liang, Xu.) | Lu, Huijuan (Lu, Huijuan.) | Su, Tingting (Su, Tingting.) | Hou, Zeng-Guang (Hou, Zeng-Guang.)

Indexed by:

EI Scopus SCIE

Abstract:

The self-aligning capability of an exoskeleton is important to ensure wearing comfort, and the delicate motion ability of the exoskeleton is essential for motion assistance. Designing a self-aligning exoskeleton that offers improved wearing comfort and enhanced motion-assistance functions remains a challenge. This paper proposes a novel spatial self-aligning mechanism for a knee exoskeleton to enable simultaneous assistance in the flexion and extension (FE) of the knee joint and the internal and external rotation (IER) of the hip joint. Additionally, considering the misalignment of the human-robot joint axes, a kinematic model of the knee exoskeleton is established and analyzed to demonstrate the kinematic compatibility of the exoskeleton. Furthermore, a global torque manipulability (GTM) index is proposed to evaluate the effects of dimensional parameters on the exoskeleton's performance, and then the knee exoskeleton is optimized according to the GTM index. Finally, experiments are conducted to validate the performance of the proposed exoskeleton. The experimental results show that during knee FE and hip IER, the proposed exoskeleton exhibits lower interaction forces and torques than existing exoskeletons.

Keyword:

kinematic compatibility Kinematics Legged locomotion optimization Knee exoskeleton Iron Torque Hip self-aligning mechanism Knee Exoskeletons

Author Community:

  • [ 1 ] [Li, Guotao]Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing, Peoples R China
  • [ 2 ] [Hou, Zeng-Guang]Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing, Peoples R China
  • [ 3 ] [Liang, Xu]Beijing Jiaotong Univ, Sch Automat & Intelligence, Beijing, Peoples R China
  • [ 4 ] [Lu, Huijuan]North China Univ Technol, Dept Mech & Elect Engn, Beijing 100041, Peoples R China
  • [ 5 ] [Su, Tingting]Beijing Univ Technol, Fac Informat Technol, Beijing 100022, Peoples R China

Reprint Author's Address:

  • [Hou, Zeng-Guang]Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing, Peoples R China;;[Liang, Xu]Beijing Jiaotong Univ, Sch Automat & Intelligence, Beijing, Peoples R China;;

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Source :

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

ISSN: 1534-4320

Year: 2024

Volume: 32

Page: 472-481

4 . 9 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 9

SCOPUS Cited Count: 12

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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