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Synergistic Hierarchical AI Framework for USV Navigation: Closing the Loop Between Swin-Transformer Perception, T-ASTAR Planning, and Energy-Aware TD3 Control — Europe PMC PMID:40807864

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/40807864
DOI: 10.3390/s25154699
License (as archived): solo-consultazione
Archived: 2026-10-08T02:31:53.318Z
SHA-256 of the archived text: 6264746b9ce96540e72fca1ed01ab323d685230b7165e9f16af9101758e9c9f1
Stable URL of this page: https://metraipolis.com/documento/dc_ee4e7a807caa

How to cite

Synergistic Hierarchical AI Framework for USV Navigation: Closing the Loop Between Swin-Transformer Perception, T-ASTAR Planning, and Energy-Aware TD3 Control — Europe PMC PMID:40807864 — Europe PMC (en), https://europepmc.org/article/MED/40807864 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_ee4e7a807caa (Metraipolis archive dc_ee4e7a807caa, sha256 6264746b9ce96540e72fca1ed01ab323d685230b7165e9f16af9101758e9c9f1)

BibTeX

@misc{dcee4e7a807caa,
  title = {Synergistic Hierarchical AI Framework for USV Navigation: Closing the Loop Between Swin-Transformer Perception, T-ASTAR Planning, and Energy-Aware TD3 Control — Europe PMC PMID:40807864},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/40807864},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_ee4e7a807caa; sha256 6264746b9ce96540e72fca1ed01ab323d685230b7165e9f16af9101758e9c9f1},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/40807864. Agents can read the archived copy with the MCP tool read_document.