Research on robotic manipulator fault detection and diagnosis technology based on machine vision in complex environments-Reference-Cited by-同舟云学术

Research on robotic manipulator fault detection and diagnosis technology based on machine vision in complex environments

Published:2022-10-28 Issue:2 Volume:40 Page:231-242
ISSN:1556-4959
Container-title:Journal of Field Robotics
language:en
Short-container-title:Journal of Field Robotics

Author:

Pan Jinghui¹,Qu Lili²,Peng Kaixiang¹

Affiliation:

1. School of Automation University of Science and Technology Beijing Beijing China

2. School of Automation South China University of Technology Guangzhou College Guangzhou China

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rob.22125

Reference33 articles.

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3. Barath D.&Kukelova Z.(2019). Homography from two orientation‐ and scale‐covariant features. In:2019 IEEE/CVF International Conference on Computer Vision pp.1–9.

4. Structure adaptive feature point matching for urban area wide‐baseline images with viewpoint variation;Chen M.;Acta Geodaetica et Cartographica Sinica,2019

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