A Hybrid θ*-APF-Q Framework for Energy-Aware Path Planning of Unmanned Surface Vehicles Under Wind and Current.

Sun X, Dong Z, Chen X, Sun L, An Y

DOI: 10.3390/s26072116
Published: 2026 Mar 29
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26072116,
  title = {A Hybrid θ*-APF-Q Framework for Energy-Aware Path Planning of Unmanned Surface Vehicles Under Wind and Current.},
  author = {Sun X and Dong Z and Chen X and Sun L and An Y},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26072116},
  url = {https://doi.org/10.3390/s26072116}
}

RIS

TY  - JOUR
TI  - A Hybrid θ*-APF-Q Framework for Energy-Aware Path Planning of Unmanned Surface Vehicles Under Wind and Current.
AU  - Sun X
AU  - Dong Z
AU  - Chen X
AU  - Sun L
AU  - An Y
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26072116
UR  - https://doi.org/10.3390/s26072116
ER  -

APA

X, S., Z, D., X, C., L, S., & Y, A. (2026). A Hybrid θ*-APF-Q Framework for Energy-Aware Path Planning of Unmanned Surface Vehicles Under Wind and Current.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26072116

Source records

pubmed · retrieved 2026-09-26T02:09:31.014Z