Evidence map›Paper›PMID 40032981›Full record

ArticleScientific reports2025

Research on status monitoring and positioning compensation system for digital twin of parallel robots.

Yuting Zhang, Pei Gao, Zongyan Wang, Quanling He

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Yuting ZhangNorth University of China, Key Laboratory of Digital Design and Manufacturing in Shanxi Province, Taiyuan, 030051, Shanxi, China.
Pei GaoShanxi Polytechnic College, Department of Mechanical and Electrical Engineering, Taiyuan, 030006, Shanxi, China.
Zongyan WangNorth University of China, Key Laboratory of Digital Design and Manufacturing in Shanxi Province, Taiyuan, 030051, Shanxi, China. wangzongyan321@sina.com.
Quanling HeNorth University of China, Key Laboratory of Digital Design and Manufacturing in Shanxi Province, Taiyuan, 030051, Shanxi, China.

Funding

Key Research and Development Project of Shanxi Province: Research and Application of Intelligent Coal Gangue Sorting Multi-Parallel Robot System Based on Visual Recognition 202302100401010
6 · The paper itself

Abstract

Industrial parallel robots are characterized by their stable structure and grasping pick-up speed, and they are commonly used in food packaging and parts assembly industries. However, the traditional robot teaching pendants often provide monitoring data under idealized conditions. The lack of precise monitoring, combined with sensor data, frequently results in misaligned robot positioning and a reduced operational lifespan. To enhance these robots' positioning accuracy and monitoring efficiency, this paper introduces research on status monitoring and positioning compensation system for digital twin of parallel robots. Initially, the digital twin framework is constructed. Establishing a spatial kinematics model that serves as the foundation for the twin model, the kinematics model facilitates basic synchronized interaction. Furthermore, an improved IPSO-SSA-DBP algorithm calibrates the kinematics and predicts the position error. Ultimately, a digital twin system is built to visualize the status monitoring and positioning error compensation, and the system's reliability is confirmed through experimental validation.

Indexed as

Digital twinParallel robotsPositioning compensationStatus monitoringSystem integration

Identifiers

PMID40032981
PMCPMC11876575

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.