sl-webui
bd22a1a2b1
Add complete display integration for MageDok 7" IPS touchscreen: Configuration Files: - X11 display config (xorg-magedok.conf) — 1024×600 @ 60Hz - PulseAudio routing (pulseaudio-magedok.conf) — HDMI audio to speakers - Udev rules (90-magedok-touch.rules) — USB touch device permissions - Systemd service (magedok-display.service) — auto-start on boot ROS2 Launch: - magedok_display.launch.py — coordinate display/touch/audio setup Helper Scripts: - verify_display.py — validate 1024×600 resolution via xrandr - touch_monitor.py — detect MageDok USB touch, publish status - audio_router.py — configure PulseAudio HDMI sink routing Documentation: - MAGEDOK_DISPLAY_SETUP.md — complete installation and troubleshooting guide Features: ✓ DisplayPort → HDMI video from Orin DP connector ✓ USB touch input as HID device (driver-free) ✓ HDMI audio routing to built-in speakers ✓ 1024×600 native resolution verification ✓ Systemd auto-launch on boot (no login prompt) ✓ Headless fallback when display disconnected ✓ ROS2 status monitoring (touch/audio/resolution) Supports Salty Face UI (Issue #370) and accessibility features (Issue #371) 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.