Design of a Rigid-Flexible Hybrid Bionic Lower Limb Robot

Against the backdrop of the intensifying aging population, there exists a large patient population with lower limb movement dysfunctions who require rehabilitation training. Bionic lower limb robots can be used in conjunction with lower limb rehabilitation robot systems based on bilateral control for rehabilitation training. However, traditional rigid serial bionic lower limbs face issues such as large impacts and insufficient control of compliant motion. On this premise, a bionic lower limb robot with a combination of rigid and flexible linkages for remote rehabilitation is proposed, and the following work on its model is carried out: 1) Based on the design concept of rigid-flexible coupling and separated actuator constraints, an overall actuation scheme for the bionic lower limb is established. A dynamic musculoskeletal model of the human body is created using OpenSim to analyze the physiological structure and motion mechanism of the lower limbs. 2) The structure of the bionic lower limb robot is designed according to the size, mass, and degrees of freedom of each joint in the lower limbs. 3) A kinematic analysis based on the Denavit-Hartenberg (D-H) method is conducted for the bionic lower limb robot driven by flexible cables, exploring the relationship between the lower limb motion trajectory and the changes in cable length during the gait motion process. 4) A Lagrangian dynamic model of the bionic lower limb is established, and dynamic simulation is carried out using Adams.

Authors

Institutions

Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/i-create62067.2024.10776456
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of a Rigid-Flexible Hybrid Bionic Lower Limb Robot

Bin Xin, Min Li, Keyi Wang, Huang Yuehua et al.
Prosthetics and Rehabilitation Robotics
article

Design of a Rigid-Flexible Hybrid Bionic Lower Limb Robot

Bin Xin, Min Li, Keyi Wang, Huang Yuehua, Li Jinghang
article en

Abstract

Against the backdrop of the intensifying aging population, there exists a large patient population with lower limb movement dysfunctions who require rehabilitation training. Bionic lower limb robots can be used in conjunction with lower limb rehabilitation robot systems based on bilateral control for rehabilitation training. However, traditional rigid serial bionic lower limbs face issues such as large impacts and insufficient control of compliant motion. On this premise, a bionic lower limb robot with a combination of rigid and flexible linkages for remote rehabilitation is proposed, and the following work on its model is carried out: 1) Based on the design concept of rigid-flexible coupling and separated actuator constraints, an overall actuation scheme for the bionic lower limb is established. A dynamic musculoskeletal model of the human body is created using OpenSim to analyze the physiological structure and motion mechanism of the lower limbs. 2) The structure of the bionic lower limb robot is designed according to the size, mass, and degrees of freedom of each joint in the lower limbs. 3) A kinematic analysis based on the Denavit-Hartenberg (D-H) method is conducted for the bionic lower limb robot driven by flexible cables, exploring the relationship between the lower limb motion trajectory and the changes in cable length during the gait motion process. 4) A Lagrangian dynamic model of the bionic lower limb is established, and dynamic simulation is carried out using Adams.

Harbin Engineering University (CN)
Affordable and clean energy
Openalex Percentile: Top 79%
Prosthetics and Rehabilitation Robotics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.