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AI Autonomous Ships

LLM navigation agents, remote-vs-autonomous masters, human-in-the-loop design, and the decision architectures being proposed for ships that steer themselves. — 9 evidence-graded features.

ILLUSTRATIVE TELEMETRY · NOT LIVE DATALAT 51.9244°NLON 4.4777°ESOG 12.4 KNHDG 087°TWS 18 KT NWSWELL 2.1 MSIG −38 DBNO LIVE AIS FEEDECDIS NOT CONNECTEDUTC --:--:--ILLUSTRATIVE TELEMETRY · NOT LIVE DATALAT 51.9244°NLON 4.4777°ESOG 12.4 KNHDG 087°TWS 18 KT NWSWELL 2.1 MSIG −38 DBNO LIVE AIS FEEDECDIS NOT CONNECTEDILLUSTRATIVE TELEMETRY · NOT LIVE DATALAT 51.9244°NLON 4.4777°ESOG 12.4 KNHDG 087°TWS 18 KT NWSWELL 2.1 MSIG −38 DBNO LIVE AIS FEEDECDIS NOT CONNECTEDUTC --:--:--ILLUSTRATIVE TELEMETRY · NOT LIVE DATALAT 51.9244°NLON 4.4777°ESOG 12.4 KNHDG 087°TWS 18 KT NWSWELL 2.1 MSIG −38 DBNO LIVE AIS FEEDECDIS NOT CONNECTED

Can LLMs actually command an autonomous ship? The honest verdictAutonomy · 2026-10 Navigation-GPT: the LLM ship-navigation architectureAnalysis · 2026-10 LLM vs RL for ship navigation: the reasoner and the reflexAutonomy · 2026-10 Remote master vs. autonomous master: the command questionAutonomy research · 2026-10 Human-in-the-loop AI on the ship's bridgeAnalysis · 2026-10 Agentic AI for autonomous shipsAnalysis · 2026-10 AI navigation in congested ports: the density wallAutonomy research · 2026-10 AI navigation through narrow channels: the physics the rules don't coverAutonomy research · 2026-10 AI decision-making in restricted visibility: the caution problemAutonomy research · 2026-10

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