IABC: An iteratively automatic machine learning boosted hand-eye calibration method for laser displacement sensor-Reference-Cited by-同舟云学术

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IABC: An iteratively automatic machine learning boosted hand-eye calibration method for laser displacement sensor

Published:2023-08 Issue:8 Volume:36 Page:422-453
ISSN:1000-9361
Container-title:Chinese Journal of Aeronautics
language:en
Short-container-title:Chinese Journal of Aeronautics

Author:

LI Helin,LIN Bin,SUI Tianyi,XU Liang,ZHANG Chen,YAN Shuai,WANG Yang,HAO Xinquan,LOU Deyu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Aerospace Engineering

Reference62 articles.

1. Dielectric and mechanical properties of hypersonic radome materials and metamaterial design: a review;Kenion;J Eur Ceram Soc,2022

2. Determination of the scheme of precision grinding compensation on the radome;Guo;Front Mech Eng China,2007

3. Diamond wheel grinding characteristics of 3D orthogonal quartz fiber reinforced silica ceramic matrix composite;Lin;Chin J Aeronaut,2021

4. Study on the geometrical shape measuring and precision grinding for complicated surface parts of high performance hard and brittle material;Ji;Acad J Manuf Eng,2019

5. Calibration of location errors of rotary axes on five-axis machine tools by on-the-machine measurement using a touch-trigger probe;Ibaraki;Int J Mach Tool Manu,2012

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1. An errors-unidentified hand-eye calibration method via robot relocalization and iterative combinatorial refinement;Measurement;2024-02

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