Implement state machine for detecting and enrolling unknown persons.
Manages workflow: DETECT → GREET → ASK_NAME → SMALL_TALK → ENROLL → FAREWELL
Features:
- Subscribes to /saltybot/person_tracker for unknown face detection
- Unknown person threshold configurable (default: 30% confidence)
- State machine with Piper TTS triggers for each state
- Captures STT responses for name and conversation context
- Publishes /social/orchestrator/state for coordination with other nodes
- Handles person interruptions gracefully (walks away)
- Auto-enrolls person to face gallery (configurable)
- Stores encounter data as JSON in /home/seb/encounter-queue/
- Tracks duration, responses, interests, and enrollment success
Encounter data structure:
{
person_id, timestamp, state, name, context, greeting_response,
interests[], enrollment_success, duration_sec, notes
}
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
