Evidence map›Paper›PMID 40670557›Full record

ArticleScientific reports2025

Enhancing navigation control accuracy of guidance line drawing robot by dual antenna GNSS and MEMS IMU.

Ziyang Liu, Weigang Pan

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

2 authors.

Ziyang LiuSchool of Rail Transportation, Shandong JiaoTong University, Jinan, 250000, China.
Weigang PanSchool of Rail Transportation, Shandong JiaoTong University, Jinan, 250000, China. panweigang1980@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, there are some problems in the construction of road marking, such as low efficiency and poor precision, so using the guidance line drawing robot is an effective solution. However, satellite signals are easily disturbed by the environment, navigation accuracy and stability cannot meet the needs of robot construction positioning, and the high cost of optical fiber inertial navigation is not conducive to the popularity of the robot. Therefore, a navigation control algorithm based on low-cost GNSS/INS for guidance line drawing robots is proposed in this paper. In order to solve the problem that the heading error of the guidance line drawing robot is weak in the low speed and uniform linear motion, which leads to the divergence of heading angle, the heading information of the dual-antenna GNSS receiver is introduced as the observation quantity. In order to solve the problem that the measurement error of MEMS IMU increases when the carrier is moving, the IMU errors divergence is suppressed by non-holonomic constraint. The model prediction controller is designed to realize the smooth control of the guidance line drawing robot by predicting the future system state and the incremental constraints of the controller. The experimental results show that the improved GNSS/INS navigation control algorithm proposed in this paper shows good performance on the built platform of the guidance line drawing robot. The heading accuracy and position accuracy of the robot in the process of drawing the guidance line are improved by 46% and 40% respectively, and the guidance line drawing accuracy and smoothness both meet the construction requirements.

Indexed as

GNSS/INS integrated navigationHeading constraintHigh precision navigation systemModel predictive controlNon-holonomic constraint

Identifiers

PMID40670557
PMCPMC12267425

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.