Daxing Zeng — accepted AI-conference papers

2024

Design and Human-Robot Coupling Performance Analysis of Flexible Ankle Rehabilitation Robot

Daxing Zeng, Ya Liu, Chongrui Qu, Jianhua Cong, Yulei Hou, Wenjuan Lu

RA-L 2024

In response to the problems of mismatched human-robot motion and poor human-robot coupling (HRC) performance in ankle rehabilitation robots, this study proposes a cable-driven flexible ankle rehabilitation robot (FARR) based on biomimetic design and analyzes its HRC performance. Firstly, based on th

Cited by 16 Source ↗Scholar ↗

2024

Design of Human-Machine Compatible Ankle Rehabilitation Robot Based on Equivalent Human Ankle Model

Ya Liu, Wenjuan Lu, Huiting Ma, Yunjiao Deng, Bo Hu, Daxing Zeng

RA-L 2024

In this letter, a human–machine compatible ankle rehabilitation robot (HMCARR) is proposed to help stroke patients with motion dysfunction recover their motor function. The HMCARR can make the human ankle center-of-rotation (H-CoR) and the ankle rehabilitation robot center-of-rotation (R-CoR) coinci

Cited by 6 Source ↗Scholar ↗