Evidence map›Paper›PMID 41644689›Full record

ArticleScientific reports2026

Research on positioning method in parcel sorting in disordered logistics.

Yu Han, Fengshou Zhang, Aohui He, Gaoshuai Zhuang, Li Li

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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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

5 authors.

Yu HanSchool of Mechanical Engineering, Henan University of Science and Technology, Luoyang, 471000, China.
Fengshou ZhangSchool of Mechanical Engineering, Henan University of Science and Technology, Luoyang, 471000, China. fengshouzhang@163.com.
Aohui HeSchool of Mechanical Engineering, Henan University of Science and Technology, Luoyang, 471000, China.
Gaoshuai ZhuangSchool of Mechanical Engineering, Henan University of Science and Technology, Luoyang, 471000, China.
Li LiChangqing Drilling Corporation, CNPC Chuanqing Drilling Engineering Company Limited, Xi'an, 610100, China.

Funding

National key projects 2019-V11-0017-0159Shenzhen City Polytechnic scientific research project 2412016
6 · The paper itself

Abstract

In order to solve the difficult problem of feeding process in the process of disorderly logistics package stacking entering automatic sorting equipment in logistics package sorting industry, an algorithm based on 3D vision to determine the normal vector of three points-projection to determine the position of the central point is proposed, which is used to obtain the position information of the physical and geometric central point on the projection plane of spatial logistics package. The mathematical model of the algorithm is established. The method of calculating the normal vector and the attitude of the center point of the algorithm and the workflow of the algorithm are expounded. In order to verify the accuracy of the proposed algorithm, an experimental method of determining the center point with dual lasers and the spatial pose with dual probes is proposed, and an experimental scene based on 3D vision, industrial robot, dual lasers and PC (Personal Computer) is constructed. The experimental results show that the algorithm can solve the position and attitude information of the physical and geometric center of the projection plane of the target logistics package in the disorderly logistics package stacking, and the maximum positioning error is [Formula: see text], and the average error is [Formula: see text]. The average positioning time is 17.55 ms. The algorithm of determining the normal vector of three points and determining the position of the center point by projection can solve the position information of the physical geometric center of the projection plane of spatial logistics packages, which provides reference for the research of disorderly logistics package sorting technology.

Indexed as

positioning methodSorting packageThree-dimensional visionunordered logistics package

Identifiers

PMID41644689
PMCPMC12932857

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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.