JOURNAL ARTICLE

AGV Path Planning Based on Improved Artificial Potential Field Method

Zheyi ChenBing Xu

Year: 2021 Journal:   2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pages: 32-37

Abstract

Aiming at the local path planning problem of AGV, an improved artificial potential field algorithm is proposed. Firstly, the angle function is added to the traditional algorithm to match with the original force field function, and the fuzzy control idea is combined to enhance the stability. Matlab simulation results show that the algorithm has certain advantages in complex environment path planning. Compared with the traditional artificial potential field method, the improved artificial potential field method can complete the path planning task accurately and efficiently.

Keywords:
Motion planning Potential field MATLAB Computer science Field (mathematics) Path (computing) Task (project management) Function (biology) Stability (learning theory) Artificial intelligence Algorithm Mathematical optimization Engineering Mathematics Robot Machine learning

Metrics

36
Cited By
2.03
FWCI (Field Weighted Citation Impact)
8
Refs
0.92
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
Advanced Manufacturing and Logistics Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Optimization and Search Problems
Physical Sciences →  Computer Science →  Computer Networks and Communications

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