Evidence map›Paper›PMID 37237651›Full record

ArticleBioengineering (Basel, Switzerland)2023

Optimization Design and Performance Analysis of a Bionic Knee Joint Based on the Geared Five-Bar Mechanism.

Zhuo Wang, Wenjie Ge, Yonghong Zhang, Bo Liu, Bin Liu, Shikai Jin, Yuzhu Li

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

7 authors.

Zhuo WangSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Wenjie GeSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Yonghong ZhangSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Bo LiuSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Bin LiuSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Shikai JinSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Yuzhu LiSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal joint motion is a combination of rotation and translational motion, which brings high stability, high energy utilization, and other advantages. At present, the hinge joint is widely used in the legged robot. The simple motion characteristic of the hinge joint rotating around the fixed axis limits the improvement of the robot's motion performance. In this paper, by imitating the knee joint of a kangaroo, we propose a new bionic geared five-bar knee joint mechanism to improve the energy utilization rate of the legged robot and reduce the required driving power. Firstly, based on image processing technology, the trajectory curve of the instantaneous center of rotation (ICR) of the kangaroo knee joint was quickly obtained. Then, the bionic knee joint was designed by the single-degree-of-freedom geared five-bar mechanism and the parameters for each part of the mechanism were optimized. Finally, based on the inverted pendulum model and the Newton-Euler recursive method, the dynamics model of the single leg of the robot in the landing stage was established, and the influence of the designed bionic knee joint and hinge joint on the robot's motion performance was compared and analyzed. The proposed bionic geared five-bar knee joint mechanism can more closely track the given trajectory of the total center of mass motion, has abundant motion characteristics, and can effectively reduce the power demand and energy consumption of the robot knee actuators under the high-speed running and jumping gait.

Indexed as

bionic mechanismdynamicsenergy efficiencykangaroo knee joint

Identifiers

PMID37237651
PMCPMC10215603

What OpenQuestion holds

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LicenceCC BY
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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.