Iterative optimization of time-variant kinematic model for dynamic error compensation of robot vision measurement system-Reference-Cited by-同舟云学术

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Iterative optimization of time-variant kinematic model for dynamic error compensation of robot vision measurement system

Published:2023-03-17 Issue:5-6 Volume:126 Page:1937-1949
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Ye Fan,Wang Yukun,Yang Xiao,Chen Xiaobo,Xi Juntong

Funder

Science and Technology Commission of Shanghai Municipality

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00170-023-10997-y.pdf

Reference33 articles.

1. Heimann O, Guhl J (2020) Industrial robot programming methods: a scoping review. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). 1:696–703. https://doi.org/10.1109/ETFA46521.2020.9211997

2. Jiang T, Cui H, Cheng X (2020) A calibration strategy for visually guided robot assembly system of large cabin. Measurement 163:107991. https://doi.org/10.1016/j.measurement.2020.107991

3. Wang K, Liu Y, Li L (2014) Visual servoing trajectory tracking of nonholonomic mobile robots without direct position measurement. IEEE Trans Rob 30(4):1026–1035. https://doi.org/10.1109/TRO.2014.2317891

4. Rossi A, Barbiero M, Carli R (2020) Vostok: 3D scanner simulation for industrial robot environments. Electr Lett Comp Vision Image Anal 19(3):71. https://doi.org/10.5565/REV/ELCVIA.1244

5. Singh R, Khurana A, Kumar S (2020) Optimized 3D laser point cloud reconstruction by gradient descent technique. Ind Robot 47(3):409–421. https://doi.org/10.1108/IR-12-2019-0244

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