JOURNAL ARTICLE

Path Planning Using an Improved A-star Algorithm

Chunyu JuQinghua LuoXiaozhen Yan

Year: 2020 Journal:   2020 11th International Conference on Prognostics and System Health Management (PHM-2020 Jinan) Pages: 23-26

Abstract

There has been a heated issue in the field of robotics about how to plan the shortest path of a map with obstacles. This papers mainly analysis the issues about the path planned are not the shortest path by the A-star algorithm under certain conditions. An effective method is proposed which is called an improved A-star algorithm. The improved A-star algorithm is proposed to solve path planning under certain conditions, which can find a shorter path in contrast of other related methods. The simulation results show that the proposed algorithms are effective to settle above the issue, in which the path generated by the improved A-star algorithm has a shorter path than the path of other improved A-star algorithms.

Keywords:
A* search algorithm Shortest path problem Path (computing) Yen's algorithm Star (game theory) Motion planning Algorithm K shortest path routing Fast path Computer science Constrained Shortest Path First Widest path problem Any-angle path planning Longest path problem Shortest Path Faster Algorithm Artificial intelligence Dijkstra's algorithm Mathematics Robot Theoretical computer science Graph

Metrics

148
Cited By
5.63
FWCI (Field Weighted Citation Impact)
1
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
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