Development of a novel autonomous lower extremity exoskeleton robot forwalking assistance

Yong HE , Nan LI , Chao WANG , Lin-qing XIA , Xu YONG , Xin-yu WU

Front. Inform. Technol. Electron. Eng ›› 2019, Vol. 20 ›› Issue (3) : 318 -329.

PDF (1756KB)
Front. Inform. Technol. Electron. Eng ›› 2019, Vol. 20 ›› Issue (3) : 318 -329. DOI: 10.1631/FITEE.1800561
Special Feature on Intelligent Robats
Special Feature on Intelligent Robats

Development of a novel autonomous lower extremity exoskeleton robot forwalking assistance

Author information +
History +
PDF (1756KB)

Abstract

Today, exoskeletons are widely applied to provide walking assistance for patients with lower limb motor incapacity. Most existing exoskeletons are under-actuated, resulting in a series of problems, e.g., interference and unnatural gait during walking. In this study, we propose a novel intelligent autonomous lower extremity exoskeleton (Auto-LEE), aiming at improving the user experience of wearable walking aids and extending their application range. Unlike traditional exoskeletons, Auto-LEE has 10 degrees of freedom, and all the joints are actuated independently by direct current motors, which allows the robot to maintain balance in aiding walking without extra support. The new exoskeleton is designed and developed with a modular structure concept and multi-modal human-robot interfaces are considered in the control system. To validate the ability of self-balancing bipedal walking, three general algorithms for generating walking patterns are researched, and a preliminary experiment is implemented.

Keywords

Lower-limb / Exoskeleton / Self-balancing / Bipedal walking / Modular design

Cite this article

Download citation ▾
Yong HE, Nan LI, Chao WANG, Lin-qing XIA, Xu YONG, Xin-yu WU. Development of a novel autonomous lower extremity exoskeleton robot forwalking assistance. Front. Inform. Technol. Electron. Eng, 2019, 20(3): 318-329 DOI:10.1631/FITEE.1800561

登录浏览全文

4963

注册一个新账户 忘记密码

References

RIGHTS & PERMISSIONS

Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature

AI Summary AI Mindmap
PDF (1756KB)

Supplementary files

FITEE-0318-19002-YH_suppl_1

FITEE-0318-19002-YH_suppl_2

2652

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/