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Trajectory Modulation for Impact Reducing of Lower-Limb Exoskeletons.
Zhang, Long; Song, Guangkui; Zou, Chaobin; Huang, Rui; Cheng, Hong; Hu, Dekun.
Afiliação
  • Zhang L; Center for Robotics, University of Electronic Science and Technology of China, No. 2006 Xiyuan Ave, Chengdu 611731, China.
  • Song G; Center for Robotics, University of Electronic Science and Technology of China, No. 2006 Xiyuan Ave, Chengdu 611731, China.
  • Zou C; Center for Robotics, University of Electronic Science and Technology of China, No. 2006 Xiyuan Ave, Chengdu 611731, China.
  • Huang R; Center for Robotics, University of Electronic Science and Technology of China, No. 2006 Xiyuan Ave, Chengdu 611731, China.
  • Cheng H; Center for Robotics, University of Electronic Science and Technology of China, No. 2006 Xiyuan Ave, Chengdu 611731, China.
  • Hu D; Buffalo Robot Tech Co., Ltd., No. 888 Tianfu Ave, Chengdu 610213, China.
Micromachines (Basel) ; 13(6)2022 May 24.
Article em En | MEDLINE | ID: mdl-35744430
ABSTRACT
Lower-limb exoskeletons have received considerable attention because of their effectiveness in walking assistance and rehabilitation for paraplegic patients. Excessive foot-ground impacts during walking make patients uncomfortable and even lead to injury. In this paper, we propose an optimized knee trajectory modulation (OKTM) for foot-ground impact reduction. The OKTM can reduce the peak of ground reaction force (PGRF) by knee-joint trajectory modulation based on a parameters-optimizing spring-damping system. In addition, a hip trajectory modulation (HTM) is presented to compensate for torso pitch deflections due to the OKTM. Unlike traditional mechanical-device-based methods, the proposed OKTM and HTM require no bulky mechanical structures, and can adaptively adjust parameters to adapt to different impacts. We demonstrated the efficiency of the proposed approach in both simulations and experiments for engineering verifications. Results show that the approach can effectively reduce PGRF.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article