Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)

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Industrial Robot Control Based on Deep Learning

Authors
Yuebai Wang1, *
1School of mechatronic engineering and automation, Shanghai University, Shanghai, China
*Corresponding author. Email: wangyuebai@shu.edu.cn
Corresponding Author
Yuebai Wang
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-648-7_2How to use a DOI?
Keywords
Industrial Robots; Robot Control; Deep Learning
Abstract

The concept of Industry 4.0 originated in Germany, with its core being a highly digitalized factory interior that enables an efficient manufacturing system and even autonomous control of production. In the era of Industry 4.0, with the application of neural network learning, industrial robots can complete a large amount of production work with greater control. However, the control of industrial robots has not yet fully achieved intelligence. Deep learning does not require artificial features and can be used to further improve its ability to handle complex environments and generalization ability. This paper first introduces industrial robots and robot control. It then discusses the research on deep learning in robot motion control from three perspectives: robot motion control stability, position prediction and compensation, and robot crawling. This paper aims to provide a reference for the development of industrial robot control technology and promote the integration of deep learning and robot motion control in the field of industry, then improving the operational capabilities along with the intelligence of industrial robots.

Copyright
© 2026 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 International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
Series
Advances in Computer Science Research
Publication Date
24 April 2026
ISBN
978-94-6239-648-7
ISSN
2352-538X
DOI
10.2991/978-94-6239-648-7_2How to use a DOI?
Copyright
© 2026 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  - Yuebai Wang
PY  - 2026
DA  - 2026/04/24
TI  - Industrial Robot Control Based on Deep Learning
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 4
EP  - 10
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_2
DO  - 10.2991/978-94-6239-648-7_2
ID  - Wang2026
ER  -