Exploring the State of the Art in Optimizing Intelligent Path Planning Algorithms

DOI

10.2991/978-94-6463-821-9_22How to use a DOI?

Keywords

Intelligent Path Planning Algorithm; A* Algorithm; RRT Algorithm; Automobile Path Planning; Algorithm Improvement

Abstract

Intelligent path planning algorithms have emerged in the present time of rapid technological development, and intelligent path planning algorithms play an important role in enhancing the operational efficiency and intelligence of robots, vehicles and other moving entities. Among them, A* and Rapidly - exploring Random TreeRRT (RRT) algorithms are widely used in multiple fields such as robot navigation. Therefore, this paper focuses on intelligent path planning algorithms, an in-depth study of traditional A and RRT algorithms application, improvement and integration with other technologies, and the implementation of multi-industry and multi-domain. Intelligent path algorithms are applied in many fields and the performance improvement after improvement is significant, the efficiency is enhanced after optimization and the applications are expanded, which profoundly reflects the great development prospect of intelligent path algorithms and their high degree of compatibility with different fields. Algorithm innovation results are remarkable, the integration of a variety of technologies in a variety of fields, its development prospects are broad, the future of intelligent transportation, logistics and other industrial upgrading is of great significance.

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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TY  - CONF
AU  - Yuchen Liu
PY  - 2025
DA  - 2025/08/31
TI  - Exploring the State of the Art in Optimizing Intelligent Path Planning Algorithms
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 191
EP  - 199
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_22
DO  - 10.2991/978-94-6463-821-9_22
ID  - Liu2025
ER  -