SailingKSF | AI Offshore AutopilotAutopilot Sections

Command and Control Intelligence

AI Autopilot Core

The control core is built to keep steering calm, mode changes explicit, and recovery behavior predictable when conditions get messy.

What AI Means Here

In this project, AI does not mean a chatbot or a remote cloud model. It means the autopilot continuously watches the live sensor stream, including fore and aft 9-axis attitude modules with yaw, roll, pitch, accelerometer, gyro and magnetometer data, plus heading, heel, rate of turn, acceleration/G-force cues, wind, rudder command and boat response, to learn how the boat is behaving in the current waves.

That live learning lets the system adapt steering to the sea state, anticipate the next correction, and reduce the constant rudder hunting often seen in fixed-tune autopilots.

Mode Ownership And Intent

  • STBY, HDG, WIND and CRS/TRK are treated as explicit skipper-intent states.
  • WORK mode is a high-workload operating profile that keeps the focus on stable steering and lower interaction complexity.
  • Command acknowledgement prevents silent mode mismatch.
  • Source-validity gates reduce accidental control on stale data.
  • Manual authority is preserved for immediate skipper intervention.

Anti-Hunt Steering Behavior

  • Rate-aware and error-aware control reduces constant rudder chasing.
  • Sea-state adaptation damps over-correction in short, steep waves.
  • Settle logic after sharp transitions keeps the boat from being whipped back and forth.
  • Confidence weighting takes sensor freshness and route quality into account.
  • The private high-speed NMEA exchange keeps control-loop latency low inside the core cluster.

Tack/Gybe, Route And WORK Context

  • Maneuvers are tracked from request through completion.
  • After a maneuver, the system can hold safe control while route intent is re-evaluated.
  • Explicit avoid-and-resume workflows are supported.
  • Warnings are raised before potentially unsafe wind-angle transitions.
  • WORK mode keeps command clarity when the skipper is busy with deck tasks.

Failover And Alarm Strategy

  • Retries are bounded, and stale data is detected on the command path.
  • Low-confidence hazards default to fail-closed behavior.
  • AIS/RADAR advisory and alarm hooks support traffic and collision-risk awareness.
  • The last recovery reason and counters remain visible for diagnostics.
  • If the system degrades, the operator sees it; nothing important switches silently.

More Features Across The Suite

Current page focus: Control logic, failover behavior, and maneuver intelligence.

The suite is much broader than a traditional autopilot. It is a complete singlehanded offshore assistance stack covering steering, weather intelligence, safety sensing, logging and post-passage analysis.

Adaptive anti-hunt steering tuned to real sea motion
Standard NMEA2000 interoperability plus a private high-speed NMEA core exchange
Cross-vendor NMEA2000 compatibility with Raymarine, Garmin, Simrad and more
Maneuver-aware route behavior with avoid-and-resume workflow
AI prevention layer for broach, surf and pitchpole tendency
WORK mode for high-workload deck and sail operations
AI sail recommendations for fore/main trim and reefing stability
Hazard diagnostics with recovery counters and reason traces
Onboard and cloud weather fusion with deterministic offline fallback
72-hour weather-corridor planning and INTELS tactical context
Track and voyage logging for weather, position and boat-status history
Owner-performance polar review on iPad and server, with same-condition better/worse comparison
Local Weather Box JSON export for weather, INTELS, corridor and wide-area hazard feeds
Automatic periodic SailingKSF reporting with position, heading, weather and sea state
Dedicated supporter and family follow pages with live voyage context
Automatic local track logging every 10 minutes while underway, with export for analysis
Emergency 1/2/3 escalation with automatic shore updates and SMS/email contact alerts
AIS/RADAR warning and alarm workflow across helm, iPad and voice
Pressure-trend plus gust/shift fusion for earlier squall warnings, especially at night
Voice alarms and structured escalation for fatigue-resistant awareness
Sensor safety integration for lightning, gas, fire and air quality
Configurable 4x analog + 8x digital protected inputs with relay and voice actions
Native iPad workflow for routes, waypoints and tactical map use
Roadmap: dual bow and aft cameras for incoming-wave prediction support

Feedback And Comments

This project is still work in progress, and I would genuinely like feedback on what is missing, what feels unclear, and what would be most useful offshore. The first sea trial is planned for spring 2026, and every comment is reviewed by me before it appears publicly.

Comments do not appear immediately. I review and approve them manually before anything is published on the site. Please avoid posting private contact details that should not be visible on the web.

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Built For Singlehanded Offshore Reality

These public pages focus on what the suite actually delivers offshore: steadier steering, fail-safe automation, and practical AI support that reduces workload without taking control away from the skipper.