sl-jetson
3755e235aa
Task A — Orin Nano Super platform update: - docker-compose.yml: update header/comments, switch all service image tags to jetson-orin, update devices to udev symlinks (/dev/rplidar, /dev/stm32-bridge, i2c-7), add NVMe volume mounts (/mnt/nvme/saltybot), update stm32-bridge to saltybot_bridge launch, add csi-cameras service - docs/pinout.md: full rewrite for Orin Nano Super — i2c-7, ttyTHS0, CSI-A/B connectors, M.2 NVMe slot, IMX219 15-pin FFC pinout, V4L2 nodes, GStreamer test commands, updated udev rules - docs/power-budget.md: full rewrite — 25W TDP, 8GB LPDDR5, 67 TOPS, 4-camera CSI bandwidth analysis, nvpmodel modes, Nano vs Orin comparison, 5V 6A PSU recommendation, 4S LiPo architecture - scripts/setup-jetson.sh: full rewrite — JetPack 6 / Ubuntu 22.04, nvidia-container-toolkit new keyring method, NVMe partition/format/fstab, CSI driver check (imx219 modprobe), video group, jtop install, 8GB swap Task B — saltybot_cameras ROS2 package: - launch/csi_cameras.launch.py: 4x v4l2_camera nodes, namespace per camera (front/left/rear/right), 640x480x30fps, includes TF launch automatically - launch/camera_tf.launch.py: static TF for 4 cameras at 90deg intervals on sensor_head_link (r=5cm offset), yaw 0/90/180/-90 deg - package.xml, setup.py, setup.cfg, __init__.py, resource marker - config/cameras_params.yaml: per-camera device/frame/offset configuration Co-Authored-By: Claude Sonnet 4.6 <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.