Evidence map›Paper›PMID 38931739›Full record

ArticleSensors (Basel, Switzerland)2024

Research on Foot Contact State Detection Technology of Wheel-Legged Robot.

Yaodong Wang, Meng Hong, Hui Chai, Yinglong Zhang, Guan Wang, Chaoqun Wu, Min Guo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Yaodong WangSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.ORCID 0009-0003-6862-7686
Meng HongSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
Hui ChaiSchool of Control Science and Engineering, Shandong University, Jinan 250061, China.
Yinglong ZhangSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
Guan WangSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
Chaoqun WuSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
Min GuoSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.ORCID 0000-0001-7962-610X

Funding

the National Key Research and Development Program of China 2022YFB4701500
6 · The paper itself

Abstract

The accurate perception of external environment information through the robot foot is crucial for the mobile robot to evaluate its ability to traverse terrain. Adequate foot-end contact signals can provide robust support for robot motion control and decision-making processes. The shape and uncertain rotation of the wheel-legged robot foot end represent a significant challenge to sensing the robot foot-end contact state, which current foot-end sensing schemes cannot solve. This paper presents a sensing method for the tire stress field of wheel-legged robots. A finite element analysis was conducted to study the deformation characteristics of the foot-end tire under force. Based on this analysis, a heuristic contact position estimator was designed that utilizes symmetrical deformation characteristics. Strain sensors, arranged in an array, extract the deformation information on the inner surface of the tire at a frequency of 200 Hz. The contact position estimator reduces the dimensionality of the data and fits the eigenvalues to the estimated contact position. Using support vector regression, the force estimator utilizes the estimated contact position and sensor signal to estimate the normal reaction force, designated as F

Indexed as

contact positionfoot-end contactnormal reaction forcestrain sensingwheel-legged robot

Identifiers

PMID38931739
PMCPMC11207222

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.