Proceedings of the 2025 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)

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Research on Path Planning Based on Braitenberg Robot Vehicles

Authors
Jiyun Chen1, *
1Leicester International Institute, Dalian University of Technology, Dalian, China
*Corresponding author. Email: 1781123006@mail.dlut.edu.cn
Corresponding Author
Jiyun Chen
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-823-3_41How to use a DOI?
Keywords
Braitenberg Vehicle; Path Planing; Map navigation
Abstract

The Braitenberg vehicle is a classic model used to study artificial intelligence, robotics, and neuroscience. It demonstrates behavioral characteristics through a combination of simple sensors and actuators, helping people understand and learns the mechanisms behind these behaviors. It has been widely studied in fields such as artificial intelligence, robotics, and neuroscience. Path planning refers to the process of finding an optimal and feasible path for a mobile robot or system within a given environment, with the goal of ensuring safe and efficient task performance. It is of great importance to many relevant fields with such demands. This paper will first introduce several basic types of Braitenberg vehicles, then discuss path planning for robots in a map, and finally explore the practical applications of combining Braitenberg vehicles with path planning. The research presented in this paper will be of significant value to the study and application of both Braitenberg vehicles and path planning.

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 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)
Series
Advances in Computer Science Research
Publication Date
31 August 2025
ISBN
978-94-6463-823-3
ISSN
2352-538X
DOI
10.2991/978-94-6463-823-3_41How 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  - Jiyun Chen
PY  - 2025
DA  - 2025/08/31
TI  - Research on Path Planning Based on Braitenberg Robot Vehicles
BT  - Proceedings of the 2025 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)
PB  - Atlantis Press
SP  - 415
EP  - 422
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-823-3_41
DO  - 10.2991/978-94-6463-823-3_41
ID  - Chen2025
ER  -