Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)

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Research on Key Technologies of Vision-Based Robotic Shaft Hole Clearance Assembly

Authors
Zhaoyang Deng1, *
1School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
*Corresponding author. Email: U202110712@hust.edu.cn
Corresponding Author
Zhaoyang Deng
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_66How to use a DOI?
Keywords
Robot Vision; Shaft Hole Assembly; Path Planning
Abstract

With the rapid development of intelligent manufacturing, robotic shaft hole assembly is a key link in the manufacturing industry; its accuracy and efficiency are crucial to product quality and production efficiency. Vision-based robotic shaft hole gap assembly technology has become an important means to improve assembly quality and automation level of its advantages of non-contact measurement and real-time feedback. However, traditional research shows that position measurement accuracy is difficult to meet the demand of high-precision assembly, and assembly path planning lacks adaptability to the complex environment. Therefore, this paper investigates the key technologies of vision-based robotic shaft hole gap assembly, covering the aspects of shaft hole feature extraction and recognition, position measurement and matching, assembly path planning and control, etc., and analyzes, integrates, and synthesizes the current situation of robotic shaft hole assembly and puts forward the prospect. The aim hopes to provide a strong reference for future research on shaft-hole assembly, and to facilitate technological breakthroughs and innovative development in this field.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
Series
Advances in Engineering Research
Publication Date
31 August 2025
ISBN
978-94-6463-821-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-821-9_66How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zhaoyang Deng
PY  - 2025
DA  - 2025/08/31
TI  - Research on Key Technologies of Vision-Based Robotic Shaft Hole Clearance Assembly
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 675
EP  - 690
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_66
DO  - 10.2991/978-94-6463-821-9_66
ID  - Deng2025
ER  -