Modern Optimization of Traditional Path Planning Algorithms

Junjian Bi

2025

Abstract

Traditional path planning algorithms play a crucial role in the fields of robotics and autonomous driving; however, their application effectiveness is often limited in complex environments. This paper reviews recent optimization methods for traditional path planning algorithms, focusing on the application of intelligent algorithm collaboration, parallel processing, and dynamic heuristic functions. By analyzing and integrating various optimization strategies, this paper reveals how to effectively enhance the efficiency and accuracy of path planning. Intelligent algorithm collaboration can fully leverage the advantages of each algorithm, increasing the flexibility of path planning; parallel technology significantly reduces planning time by improving computational speed; and the introduction of dynamic heuristic functions effectively improves the adaptability of the algorithm in dynamic environments. In summary, this paper provides a theoretical basis and practical reference for further research on the optimization of traditional path planning algorithms, aiming to promote the advancement and application of path planning technology and provides future research directions for relevant researchers.

Paper Citation

in Harvard Style

Bi J. (2025). Modern Optimization of Traditional Path Planning Algorithms. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 416-422. DOI: 10.5220/0014360600004718

in Bibtex Style

@conference{emiti25,
author={Junjian Bi},
title={Modern Optimization of Traditional Path Planning Algorithms},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={416-422},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014360600004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Modern Optimization of Traditional Path Planning Algorithms
SN - 978-989-758-792-4
AU - Bi J.
PY - 2025
SP - 416
EP - 422
DO - 10.5220/0014360600004718
PB - SciTePress