Robotics & Machine Learning Daily News2024,Issue(Jan.19) :21-22.

Yanshan University Researchers Target Robotics (Force/positionbased velocity control strategy for the lower limb rehabilitation robot during active training: design and validation)

Robotics & Machine Learning Daily News2024,Issue(Jan.19) :21-22.

Yanshan University Researchers Target Robotics (Force/positionbased velocity control strategy for the lower limb rehabilitation robot during active training: design and validation)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on robotics have been published. According to news originatingfrom Qinhuangdao, People’s Republic of China, by NewsRx correspondents, research stated, “Aimingat the shortcomings of most existing control strategies for lower limb rehabilitation robots that are difficultto guarantee trajectory tracking effect and active participation of the patient, this paper proposes aforce/position-based velocity control (FPVC) strategy for the hybrid end-effector lower limb rehabilitationrobot (HE-LRR) during active training.”

Key words

Yanshan University/Qinhuangdao/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文