Research on path planning of mobile robots based on improved A* algorithm
To address the issues of low search efficiency, excessive node expansion, and the presence of redundant nodes in the traditional A* algorithm, this article proposes an improved A* algorithm for mobile robot path planning. Firstly, a multi-neighborhood hybrid search method is introduced, optimizing t...
Saved in:
| Main Authors: | Xing Fu, Zucheng Huang, Gongxue Zhang, Weijun Wang, Jian Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-02-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2691.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
VNS-BA*: An Improved Bidirectional A* Path Planning Algorithm Based on Variable Neighborhood Search
by: Peng Li, et al.
Published: (2024-10-01) -
Path Planning for Wall-Climbing Robots Using an Improved Sparrow Search Algorithm
by: Wenyuan Xu, et al.
Published: (2024-09-01) -
Improved Hybrid A* Algorithm Based on Lemming Optimization for Path Planning of Autonomous Vehicles
by: Yong Chen, et al.
Published: (2025-07-01) -
An Improved Global and Local Fusion Path-Planning Algorithm for Mobile Robots
by: Yongliang Shi, et al.
Published: (2024-12-01) -
A Comprehensive Review of Path-Planning Algorithms for Planetary Rover Exploration
by: Qingliang Miao, et al.
Published: (2025-05-01)