Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)

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Research Progress and Trends in Flexible Design of Industrial Robot Assembly Systems for Mass Customization

Authors
Zhanyang Chen1, *
1East China University of Science and Technology, International Academy of Excellence for Engineers, Shanghai, China
*Corresponding author. Email: zhanyang.chen@stud.th-luebeck.de
Corresponding Author
Zhanyang Chen
Available Online 23 October 2025.
DOI
10.2991/978-94-6463-864-6_54How to use a DOI?
Keywords
Industrial Robots; Flexibility; Bottleneck; Future
Abstract

Industrial robots play a pivotal role in modern manufacturing by significantly enhancing production efficiency, product quality, and operational safety while reducing labor costs. However, traditional industrial robots face limitations in flexible production and rapid changeover, prompting the development of innovative flexible robot technologies. To address these challenges, researchers have focused on modular designs, adaptive fixtures, and digital twin technology, combined with artificial intelligence (AI), the Internet of Things (IoT), and advanced control algorithms. These advancements have yielded remarkable results: for instance, Amazon’s upgrade from Kiva robots to Proteus improved warehouse sorting efficiency from 100 to 300 units per hour while reducing error rates by 50% through AI-driven dynamic path planning. Similarly, in automotive and aerospace manufacturing, flexible robots have demonstrated superior precision and reconfigurability for complex processes. Moving forward, the integration of smarter, more autonomous robotic systems powered by AI and IoT is expected to further transform manufacturing, reducing production costs and supporting Industry 4.0 objectives. This evolution underscores the growing importance of intelligent, adaptable robotic solutions in driving the future of industrial automation.

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 Electrical Engineering and Intelligent Control (EEIC 2025)
Series
Advances in Engineering Research
Publication Date
23 October 2025
ISBN
978-94-6463-864-6
ISSN
2352-5401
DOI
10.2991/978-94-6463-864-6_54How 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  - Zhanyang Chen
PY  - 2025
DA  - 2025/10/23
TI  - Research Progress and Trends in Flexible Design of Industrial Robot Assembly Systems for Mass Customization
BT  - Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)
PB  - Atlantis Press
SP  - 627
EP  - 638
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-864-6_54
DO  - 10.2991/978-94-6463-864-6_54
ID  - Chen2025
ER  -