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

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Research on Real-Time Path Planning and Control Technology for Autonomous Mobile Robots

Authors
Yueran Cao1, *
1College of Mechanical and Electrical Engineering, Hohai University, Nanjing, 210024, China
*Corresponding author. Email: 2261110213@hhu.edu.cn
Corresponding Author
Yueran Cao
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_4How to use a DOI?
Keywords
Dynamic Environment; Path Planning; Real-Time Control
Abstract

The problem of path planning and control of autonomous mobile robots (AMRs) in dynamic environments is an important factor limiting their performance. Among them, the lack of environmental information has a direct impact on path planning. The control algorithms are mostly limited to the real-time adjustment of the robot body and lack of co-optimization with the path planning results, resulting in poor control flexibility of the robot in complex dynamic environments. In this paper, the focus is mainly on how the environment model and control algorithm can improve the performance of path planning in complex and changing dynamic environments. This paper concludes that accurate environment information and the combination of path planning information to adjust the control algorithm will be the key to improving the performance of AMRs in the real world. Accurate environment modeling provides more accurate planning directions for path planning, while the control algorithm combined with path planning improves the dynamics of AMRs, both of which provide research ideas for future research in the field of path planning for AMRs.

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_4How 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  - Yueran Cao
PY  - 2025
DA  - 2025/08/31
TI  - Research on Real-Time Path Planning and Control Technology for Autonomous Mobile Robots
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 23
EP  - 30
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_4
DO  - 10.2991/978-94-6463-821-9_4
ID  - Cao2025
ER  -