Enhanced Calibration Method for Robotic Flexible 3D Scanning System.

Zhilong Zhou, Jinyong Shangguan, Xuemei Sun, Yunlong Liu, Xu Zhang, Dengbo Zhang, Haoran Liu

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

An Open-Source, Low-Cost Solution for 3D Scanning.Sensors (Basel, Switzerland) · 2026
Article

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5 · Who and what money

Authors and funding

7 authors.

Zhilong ZhouCollege of Mechanical and Vehicle Engineering, Linyi University, Linyi 276012, China.ORCID 0009-0004-7434-1606

Jinyong ShangguanCollege of Mechanical and Vehicle Engineering, Linyi University, Linyi 276012, China.

Xuemei SunCollege of Mechanical and Vehicle Engineering, Linyi University, Linyi 276012, China.

Yunlong LiuCollege of Mechanical and Vehicle Engineering, Linyi University, Linyi 276012, China.

Xu ZhangCollege of Mechanical and Vehicle Engineering, Linyi University, Linyi 276012, China.

Dengbo ZhangCollege of Mechanical and Vehicle Engineering, Linyi University, Linyi 276012, China.

Haoran LiuCollege of Mechanical and Vehicle Engineering, Linyi University, Linyi 276012, China.

Funding

Natural Science Foundation of Shandong Province ZR2024QE152Natural Science Foundation of Shandong Province ZR2024QE386Science and Technology Smes Innovation Ability Improvement Project of Shandong Province 2023TSGC0459Science and Technology Smes Innovation Ability Improvement Project of Shandong Province 2024TSGC0829Scientific Research of Linyi University Z6124007Youth Entrepreneurship Technology Support Program for Higher Education Institutions of Shandong Province 2023KJ215

6 · The paper itself

Abstract

Large-sized components with numerous small key local features are essential in advanced manufacturing. Achieving high-precision quality control necessitates accurate and highly efficient three-dimensional (3D) measurement techniques. A flexible measurement system integrating a fringe-projection-based 3D scanner with an industrial robot is developed to enable the rapid measurement of large object surfaces. To enhance overall measurement accuracy, we propose an enhanced calibration method utilizing a multidimensional ball-based calibrator to simultaneously calibrate for hand-eye transformation and robot kinematic parameters. Firstly, a preliminary hand-eye calibration method is introduced to compensate for measurement errors at observation points, leveraging geometric-constraint-based optimization and a virtual single point derived via the barycentric calculation method. Subsequently, a distance-constrained calibration method is proposed to jointly estimate the hand-eye transformation and robot kinematic parameters, wherein a distance error model is constructed to link parameter errors with the measured deviations of a virtual single point. Finally, calibration and validation experiments were carried out, and the results indicate that the maximum and average measurement errors were reduced from 1.053 mm and 0.814 mm to 0.421 mm and 0.373 mm, respectively, thereby confirming the effectiveness of the proposed method.

Indexed as

error correctiongeometric constraintshand-eye calibrationkinematic parameter calibrationrobotic 3D scanning system

Identifiers

PMID40807827

DOI10.3390/s25154661

PMCPMC12349041

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LicenceCC BY

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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.