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

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A Survey on Deep Learning-Based Integrated Perception-Cognition-Control Systems for Autonomous Mobile Robots

Authors
Wenqi Han1, *
1DIPLOMA Hochschule-Private Fachhochschule Nordhessen, An Hegeberg 2, 37242, Bad-Sooden-Allendorf, Germany
*Corresponding author. Email: vickyhan129@outlook.com
Corresponding Author
Wenqi Han
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-648-7_20How to use a DOI?
Keywords
Mobile Robot; Deep Learning; Motion Control; Path planning
Abstract

The mobile robots currently widely adopted in industrial and logistics sectors integrate various technologies, with deep learning emerging as a new driving force and breakthrough for enhancing robotic efficiency and precision. Integrating its technology into each component module of the robotic system’s mobility drives interaction across the three dimensions of perception, cognition, and control. This paper divides the robotic system architecture into two major processes: “input” and “output,” with the cognitive layer serving as the hub, corresponding to “perception-cognition” and “cognition-control,” respectively. Within this framework, we outline the current state of module integration in mobile robots, adaptive solutions incorporating deep learning, deployment platforms, and relevant examples. The current bottlenecks in multi-sensor fusion under deep learning are discussed, and future development directions in this field are explored. This research aims to provide a theoretical framework and practical approach for the integration of deep learning with mobile robotic systems, thereby enhancing the autonomy and reliability of intelligent robots in complex dynamic environments.

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_20How 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  - Wenqi Han
PY  - 2026
DA  - 2026/04/24
TI  - A Survey on Deep Learning-Based Integrated Perception-Cognition-Control Systems for Autonomous Mobile Robots
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 176
EP  - 185
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_20
DO  - 10.2991/978-94-6239-648-7_20
ID  - Han2026
ER  -