sl-webui
d1aea87bd7
Animated robot expression interface as lightweight web application: **Architecture:** - HTML5 Canvas rendering engine - Node.js HTTP server (localhost:3000) - ROSLIB WebSocket bridge for ROS2 topics - Fullscreen responsive design (1024×600) **Features:** - 8 emotional states (happy, alert, confused, sleeping, excited, emergency, listening, talking) - Real-time ROS2 subscriptions: - /saltybot/state (emotion triggers) - /saltybot/battery (status display) - /saltybot/target_track (EXCITED emotion) - /saltybot/obstacles (ALERT emotion) - /social/speech/is_speaking (TALKING emotion) - /social/speech/is_listening (LISTENING emotion) - Tap-to-toggle status overlay - 60fps Canvas animation on Wayland - ~80MB total memory (Node.js + browser) **Files:** - public/index.html — Main page (1024×600 fullscreen) - public/salty-face.js — Canvas rendering + ROS2 integration - server.js — Node.js HTTP server with CORS support - systemd/salty-face-server.service — Auto-start systemd service - docs/SALTY_FACE_WEB_APP.md — Complete setup & API documentation **Integration:** - Runs in Chromium kiosk (Issue #374) - Depends on rosbridge_server for WebSocket bridge - Serves on localhost:3000 (configurable) **Next:** Issue #371 (Accessibility enhancements) 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.