Skip to main navigation Skip to search Skip to main content

Robotic arm operated automatic area scanning phase measuring deflectometry calibration method

Yanling Li, Feng Gao, Yongjia Xu, Xin Zhang, Zonghua Zhang, Jane Jiang

Research output: Contribution to journalArticlepeer-review

Abstract

Phase measuring deflectometry (PMD) is a key measurement technology for specular surfaces form measurement. With the rapid advancements in the processing and manufacturing of specular workpieces, increasing demands are being placed on the compactness, portability, and flexibility of PMD systems. In most industrial applications, the target surface often exceeds the single field of view of the measurement setup, necessitating multi-view measurements or stitching strategies to obtain complete surface data. Robotic positioning-assisted offers an efficient alternative to traditional fiducial marker-based methods by aligning multiple sub-surfaces within a unified coordinate system. In this letter, a calibration method for a robotic arm operated automatic area scanning PMD technology is proposed. The accuracy of the proposed method is verified through experiments by measuring a ring calibration mirror target. Results demonstrate that the proposed calibration approach enables effective calibration of a robotic arm near optical coaxial PMD. This calibration method lays a certain foundation for expanding the measurement range and flexibility of in-situ measurement of PMD systems.

Original languageEnglish
Article number11164969
Pages (from-to)584-587
Number of pages4
JournalIEEE Photonics Technology Letters
Volume38
Issue number9
Early online date16 Sept 2025
DOIs
Publication statusPublished - 1 May 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fingerprint

Dive into the research topics of 'Robotic arm operated automatic area scanning phase measuring deflectometry calibration method'. Together they form a unique fingerprint.

Cite this