sl-jetson d79e38eb5b feat: OTA firmware update (Issue #492)
Complete over-the-air (OTA) firmware update system with:

Features:
- Downloads releases from Gitea (seb/saltylab-firmware)
- Automatic colcon build in staging directory
- Symlink-based atomic deployment
- ROS2 service restart via systemd
- Automatic rollback on build failure
- Version tracking in ~/.saltybot-data/versions.json
- Update history with timestamps

Safety:
- Blocks updates if robot velocity > 0.05 m/s
- Velocity monitoring via odometry subscription
- Backup before update for recovery

Triggers:
- MQTT /saltybot/ota_command: 'check', 'update:<version>', 'rollback'
- /saltybot/ota_status: JSON status updates
- Dashboard integration ready

Configuration:
- Gitea API base, repo info, directories
- Build timeout: 3600s (1 hour)
- Service restart automation
- Backup retention policy

ROS2 package structure complete with launch files and config.
2026-03-05 17:04:35 -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.