sl-mechanical
5c05874ed3
Event-driven audio feedback system with 9 sound events: - boot_complete: Startup chime (ascending notes) - person_detected: Subtle detection sound (800Hz sine) - wake_word: Activation beep (1000Hz) - low_battery: Warning tone (880Hz double beep) - obstacle_close: Proximity beeps (rapid 1200Hz pulses) - trick_complete: Success jingle (ascending arpeggio) - error: Descending warning tone (800→400Hz) - charging_start: Power-up tone (rising 400→1200Hz) - geofence_warning: Boundary alert (950Hz) Features: - Priority queue for event handling - Dynamic sound synthesis if WAV/OGG files missing - Volume control with quiet/night mode support - Fade in/out for smooth playback - Configurable per-event duration and priority - Caching of loaded audio files - Background playback thread - Real-time state publishing Configuration: - WAV/OGG file loading from /home/seb/saltybot-data/sounds/ - Programmatic sound generation (sine, chime, descending, power-up, beep, jingle, proximity, alert) - Numpy/scipy-based synthesis - YAML configuration for all events - Volume and fade timing controls - Sample rate: 16kHz, 16-bit audio Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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.