sl-firmware cd263c385d feat: Diagnostics aggregator (Issue #658)
New saltybot_diagnostics_aggregator ROS2 package — unified health dashboard
aggregating telemetry into /saltybot/system_health JSON at 1 Hz.

Subscribes to /vesc/health, /diagnostics, /saltybot/safety_zone/status,
/saltybot/pose/status, /saltybot/uwb/status. Tracks 8 subsystems:
motors, battery, imu, uwb, lidar, camera, can_bus, estop.

- subsystem.py: SubsystemState, stale detection, transition log, severity
  ranking, keyword→subsystem routing (no ROS2 dependency)
- aggregator_node.py: ROS2 node, 1 Hz heartbeat, overall_status rollup,
  last_error field, 50-entry transition ring buffer
- test_aggregator.py: 46 unit tests, all passing
- config/aggregator_params.yaml, launch file

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-17 11:38:52 -04:00
..

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.