Advances in Intelligent Control and Collaborative Technologies for Industrial Robots

DOI

10.2991/978-94-6239-648-7_31How to use a DOI?

Keywords

Industrial robots; Intelligent control; Cooperative technology

Abstract

This article provides a systematic review of the current research status and development trends of intelligent control and collaboration technologies for industrial robots. As the demand for flexibility and personalization in manufacturing continues to rise, artificial intelligence is deeply integrating with mechatronics. With the increasing demand for flexibility and personalization in manufacturing, the deep integration of artificial intelligence and mechatronics has presented challenges for traditional robot systems in terms of dynamic adaptability, collaborative capabilities, and intelligence level. This article focuses on the progress of industrial robots in the two core areas of intelligent control and collaboration. In the field of intelligent control, the evolution path of the embodied intelligent system from the execution of preset programs to a “multimodal perception - autonomous decision-making - dynamic execution” closed loop was analyzed. This part covers key technologies such as perception decision fusion, high-precision motion control, and low-code teaching. In terms of collaborative technology, the human-machine collaborative safety framework, multi-robot collaborative control algorithms, and system integration solutions were discussed. The development trend indicates that industrial robots are moving towards higher autonomy, stronger collaboration capabilities, and cross-scenario adaptability. The conclusion of this article states that in the future, efforts should be focused on breaking through key bottlenecks such as dynamic scene adaptability, real-time collaborative control, and the domestic production of core components. By establishing a collaborative innovation ecosystem covering the “perception - decision-making – execution” full technical chain.

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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TY  - CONF
AU  - Yixin Luo
PY  - 2026
DA  - 2026/04/24
TI  - Advances in Intelligent Control and Collaborative Technologies for Industrial Robots
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 280
EP  - 289
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_31
DO  - 10.2991/978-94-6239-648-7_31
ID  - Luo2026
ER  -