Multi-view vision fusion with coarse-to-fine detection for high-precision robotic workpiece pose recognition and welding guidance: publisher’s note

Authors

Qinghua Wu (ORCID: https://orcid.org/0000-0002-0598-8367)

Institutions

Institute of Modern Physics (CN)
Hubei University of Technology (CN)

Publication Details

Journal: Applied Optics
Published: 2025-10-28
DOI: https://doi.org/10.1364/ao.583196
Primary Topic: Welding Techniques and Residual Stresses
Type: article
Field-Weighted Citation Impact: 0.00

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article

Multi-view vision fusion with coarse-to-fine detection for high-precision robotic workpiece pose recognition and welding guidance: publisher’s note

Qinghua Wu

Oct 28, 2025

Applied Optics

Welding Techniques and Residual Stresses

article

Multi-view vision fusion with coarse-to-fine detection for high-precision robotic workpiece pose recognition and welding guidance: publisher’s note

Qinghua Wu

October 28, 2025article en

Abstract

No abstract available for this paper.

Applied OpticsVol. 64(34)

Institute of Modern Physics (CN), Hubei University of Technology (CN)

Openalex Percentile: Top 68%

Welding Techniques and Residual Stresses

DOI Source OpenAlex

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Multi-view vision fusion with coarse-to-fine detection for high-precision robotic workpiece pose recognition and welding guidance: publisher’s note — Qinghua Wu · Applied Optics (2025) | TGRS Research Map | TGRS