FL-GQL: a fuzzy logic-guided Q-learning algorithm for global path planning of mobile robots in grid environments.

Liu GY, Wang ZQ, Zhang LZ, Fan YP, Yin YB, Zhang D

DOI: 10.1038/s41598-026-54255-z
Published: 2026 Jul 1
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-54255-z,
  title = {FL-GQL: a fuzzy logic-guided Q-learning algorithm for global path planning of mobile robots in grid environments.},
  author = {Liu GY and Wang ZQ and Zhang LZ and Fan YP and Yin YB and Zhang D},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-54255-z},
  url = {https://doi.org/10.1038/s41598-026-54255-z}
}

RIS

TY  - JOUR
TI  - FL-GQL: a fuzzy logic-guided Q-learning algorithm for global path planning of mobile robots in grid environments.
AU  - Liu GY
AU  - Wang ZQ
AU  - Zhang LZ
AU  - Fan YP
AU  - Yin YB
AU  - Zhang D
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-54255-z
UR  - https://doi.org/10.1038/s41598-026-54255-z
ER  -

APA

GY, L., ZQ, W., LZ, Z., YP, F., YB, Y., & D, Z. (2026). FL-GQL: a fuzzy logic-guided Q-learning algorithm for global path planning of mobile robots in grid environments.. Scientific reports. https://doi.org/10.1038/s41598-026-54255-z

Source records

pubmed · retrieved 2026-09-26T01:34:17.175Z