Evidence map›Paper›PMID 35529841›Full record

ArticleFrontiers in veterinary science2022

New Insights for the Design of Bionic Robots: Adaptive Motion Adjustment Strategies During Feline Landings.

Datao Xu, Huiyu Zhou, Xinyan Jiang, Shudong Li, Qiaolin Zhang, Julien S Baker, Yaodong Gu

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Datao XuFaculty of Sports Science, Ningbo University, Ningbo, China.
Huiyu ZhouFaculty of Sports Science, Ningbo University, Ningbo, China.
Xinyan JiangFaculty of Sports Science, Ningbo University, Ningbo, China.
Shudong LiFaculty of Sports Science, Ningbo University, Ningbo, China.
Qiaolin ZhangFaculty of Sports Science, Ningbo University, Ningbo, China.
Julien S BakerDepartment of Sport and Physical Education, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.
Yaodong GuFaculty of Sports Science, Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Felines have significant advantages in terms of sports energy efficiency and flexibility compared with other animals, especially in terms of jumping and landing. The biomechanical characteristics of a feline (cat) landing from different heights can provide new insights into bionic robot design based on research results and the needs of bionic engineering. The purpose of this work was to investigate the adaptive motion adjustment strategy of the cat landing using a machine learning algorithm and finite element analysis (FEA). In a bionic robot, there are considerations in the design of the mechanical legs. (1) The coordination mechanism of each joint should be adjusted intelligently according to the force at the bottom of each mechanical leg. Specifically, with the increase in force at the bottom of the mechanical leg, the main joint bearing the impact load gradually shifts from the distal joint to the proximal joint; (2) the hardness of the materials located around the center of each joint of the bionic mechanical leg should be strengthened to increase service life; (3) the center of gravity of the robot should be lowered and the robot posture should be kept forward as far as possible to reduce machine wear and improve robot operational accuracy.

Indexed as

bionic engineeringbionic robotsdeep learning methodfeline landingfinite element analysis

Identifiers

PMID35529841
PMCPMC9070819

What OpenQuestion holds

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Registered trials

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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.