Evidence map›Paper›PMID 40277598›Full record

ArticleBiomimetics (Basel, Switzerland)2025

Optimization of Structural Parameters and Mechanical Performance Analysis of a Novel Redundant Actuation Rehabilitation Training Robot.

Junyu Wu, He Wang, Yubin Liu, Zhuoqi Man, Xiaofan Yang, Xuanming Cao, Hegao Cai, Jie Zhao

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Junyu WuState Key Laboratory of Robot Technology and Systems, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-4968-4787
He WangCollege of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China.ORCID 0009-0006-0293-2153
Yubin LiuState Key Laboratory of Robot Technology and Systems, Harbin Institute of Technology, Harbin 150001, China.
Zhuoqi ManState Key Laboratory of Robot Technology and Systems, Harbin Institute of Technology, Harbin 150001, China.
Xiaofan YangState Key Laboratory of Robot Technology and Systems, Harbin Institute of Technology, Harbin 150001, China.
Xuanming CaoState Key Laboratory of Robot Technology and Systems, Harbin Institute of Technology, Harbin 150001, China.
Hegao CaiState Key Laboratory of Robot Technology and Systems, Harbin Institute of Technology, Harbin 150001, China.
Jie ZhaoState Key Laboratory of Robot Technology and Systems, Harbin Institute of Technology, Harbin 150001, China.

Funding

national key R&D program(Ministry of science and technology of the People's Republic of China 2019YFB1311400
6 · The paper itself

Abstract

The integration of redundant structures into robotic systems enhances the degrees of freedom (DOFs), flexibility, and capability to perform complex tasks. This study evaluates the mechanical performance of a 9-DOF series-parallel hybrid redundant device designed for rehabilitation training of patients with balance disorders. The redundant structural design improves the robot's movement flexibility, optimizes load distribution, and mitigates stress concentration in local joints or components. To optimize the robot's overall structural parameters and reduce joint driving forces, a genetic algorithm (GA) was employed. A custom dataset was created by collecting motion-related data, including foot posture and position. The robot's mechanical characteristics were comprehensively analyzed, followed by simulation experiments. The results demonstrate that incorporating the redundant structure, along with the optimization of structural parameters, significantly enhances the robot's mechanical performance. This study provides a solid foundation for the functional development and control system design of rehabilitation robots, extending the capabilities of existing systems and offering a novel, reliable, and efficient therapeutic tool for patients with balance disorders.

Indexed as

dynamic simulationperformance analysisredundant structurerehabilitation training robotstructure parameter optimization

Identifiers

PMID40277598
PMCPMC12024722

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.