sl-controls 033979aa47 feat(social): personality system — SOUL.md persona, mood engine, relationship DB (Issue #84)
New packages:
- saltybot_social_msgs: PersonalityState.msg + QueryMood.srv custom interfaces
- saltybot_social_personality: full personality node

Features:
- SOUL.md YAML/Markdown persona file: name, humor_level (0-10), sass_level (0-10),
  base_mood, per-tier greeting templates, mood prefix strings
- Hot-reload: SoulWatcher polls SOUL.md every reload_interval seconds, applies
  changes live without restarting the node
- Per-person relationship memory in SQLite: score, interaction_count,
  first/last_seen, learned preferences (JSON), full interaction log
- Mood engine (pure functions): happy | curious | annoyed | playful
  driven by relationship score, interaction count, recent event window (120s)
- Greeting personalisation: stranger | regular | favorite tiers
  keyed on interaction count thresholds from SOUL.md
- Publishes /social/personality/state (PersonalityState) at publish_rate Hz
- /social/personality/query_mood (QueryMood) service for on-demand mood query
- Full ROS2 dynamic reconfigure: soul_file, db_path, reload_interval, publish_rate
- 52 unit tests, no ROS2 runtime required

ROS2 interfaces:
  Sub: /social/person_detected  (std_msgs/String JSON)
  Pub: /social/personality/state (saltybot_social_msgs/PersonalityState)
  Srv: /social/personality/query_mood (saltybot_social_msgs/QueryMood)
2026-03-01 23:32:58 -05:00
..

Jetson Nano — AI/SLAM Platform Setup

Self-balancing robot: Jetson Nano dev environment for ROS2 Humble + SLAM stack.

Stack

Component Version / Part
Platform Jetson Nano 4GB
JetPack 4.6 (L4T R32.6.1, CUDA 10.2)
ROS2 Humble Hawksbill
DDS CycloneDDS
SLAM slam_toolbox
Nav Nav2
Depth camera Intel RealSense D435i
LiDAR RPLIDAR A1M8
MCU bridge STM32F722 (USB CDC @ 921600)

Quick Start

# 1. Host setup (once, on fresh JetPack 4.6)
sudo bash scripts/setup-jetson.sh

# 2. Build Docker image
bash scripts/build-and-run.sh build

# 3. Start full stack
bash scripts/build-and-run.sh up

# 4. Open ROS2 shell
bash scripts/build-and-run.sh shell

Docs

Files

jetson/
├── Dockerfile              # L4T base + ROS2 Humble + SLAM packages
├── docker-compose.yml      # Multi-service stack (ROS2, RPLIDAR, D435i, STM32)
├── README.md               # This file
├── docs/
│   ├── pinout.md           # GPIO/I2C/UART pinout reference
│   └── power-budget.md     # Power budget analysis (10W envelope)
└── scripts/
    ├── entrypoint.sh       # Docker container entrypoint
    ├── setup-jetson.sh     # Host setup (udev, Docker, nvpmodel)
    └── build-and-run.sh    # Build/run helper

Power Budget (Summary)

Scenario Total
Idle 2.9W
Nominal (SLAM active) ~10.2W
Peak 15.4W

Target: 10W (MAXN nvpmodel). Use RPLIDAR standby + 640p D435i for compliance. See docs/power-budget.md for full analysis.