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)
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
docs/pinout.md— GPIO/I2C/UART pinout for all peripheralsdocs/power-budget.md— 10W power envelope analysis
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.